﻿791
PHOTOGRAMMETRIC45075820912867111141183222254291333374402433465478515
ENGINEERING97975820912769109122164191218250263305345
&1338758209136
REMOTE138875820913259101145174201
SENSING16037582091265395121134176215
March502375930785592121153191
2014523875930784181120155
239562575910803570105
Ensemble134658603591382713865157158479111041
Learning24475860359122252383467600664797931
with34395860359175239324456
Multiple39555860359209340404490554685749878
Classifiers95489503591522163474625776417097779069901107
and21228950359131264395
Polarimetric257789503591472743384695536178179471032111611801304
Features39428950359134258390475606690820934
for4937895035977205289
Polarized123212050359146273337469553617721850981
SAR227312050359141286446
Image27791205035970270401535665
Classification35041205035915221734846257764170977790110331118118213111444
Alim.1343180101145579102177200
Samat,15651801011452101175224256279
Peijun18671801011454101125149198247
Du,21371801011458107130
Muhammad22891801011478127175224298373421470
Hasan27811801011459108150199248
Ali3052180101145578102
Baig,31771801011458107131181204
Sumit34031801011453101176199231
Chakravarty,36571801011456105154203234283322370401434474495
and4175180101144898146
Liang4344180101144569118167217
Cheng45831801011457106154203253
Abstract450212101515197137167196241284314
Polarimetric4502252010755105133183218247327372402437465510
SAR985226808544100148
(PolSAR)1158225201073011882268086448410715120525314422252010730
image14972252010728108158203248
processing1770225201075590140185230270310339394439
has22342252010755105145
become2404225201075095140190270315
a27442252010750
hot28192252010755105135
research450235201073580120165215250295350
topic825235201073080135163208
in1058235201072984
SAR1167236808544100148
remote1340235201073580160210240285
sensing1650235201074085140180208263308
field1983235201072855100129184
in2192235201072883
recent2300235201073580125170225255
years.2580235201074792142177217242
However,4502452010770120188233280325360380
due8552452010755110155
to1035245201073080
the1140245201073085130
complexity1295245201074595175230259304354382412459
of1779245201075080
the1884245201073085130
image20392452010728108158203248
and23122452010750105160
limited2497245201072857137165195240295
availability450255201075097147175203254304332360389419465
of940255201075080
advanced10452552010750105152202257302347402
techniques,1472255201073075120175230258308363408448473
PolSAR197025680864484107151205253
image22492552010728108158203248
processing2522255201075590140185230270310450265201072883128
is603265201072969
still69726520107407098126155
a8772652010750
challenging9522652010745100150178206251306351380435480
issue.1457265201072868108163208233
In1715265201073085
this1825265201073085113153
paper20032652010755105160205240
the2268265201073085130
suggestion2423265201074095140185230270300329379434
of450275201075080
ensemble5552752010745100140185265315343388
learning968275201072974124159214242297342
(EL)1335275201073013652768086448414492752010730
is1504275201072868
introduced1597275201072984114149199254309354399454
into2076275201072883113163
PolSAR226427680864484107151205253
image25432752010728108158203248
classification450285201074573123163203232259287332382412440490545
by1020285201075097
integrating1142285201072883113158203238288318347402446
various1614285201074696131160210265305
polarimetric19442852010755105133183218246326371401436465510
features2479285201073075125155210245290330
and4502952010750105160
multiple6352952010780135163193222277305350
classifiers.1010295201074573123163203232259287332367407432
The14672952010760115160
most16522952010780130170200
popular18772952010755105160215243293328
ensemble22302952010745100140185265315344389
learning2644295201072873123158213241296341
methods,4503052010780125155210260315355380
including855305201072883128157212267295350395
Bagging,12753052010758108153198227282327352
AdaBoost,16523052010768123173231281332371401426
and21033052010751106160
Rotation22893052010760110140190220248298353
Forest26673052010753103138183223253
are450315201075085130
adopted6053152010750105155210240285340
to970315201073080
combine1075315201074595175225254309354
multiple14543152010780135163193221276305350
classifiers1829315201074573123163203231259286331366406
and22603152010750105160
polarimetric24453152010755105134184219247327372402437465510
features.450325201073075125155210245290330355
The8303252010760115160
proposed1015325201075590140195245285330385
classification1425325201074573123163203232259287332382412440490545
scheme1995325201074085140185265310
is2330325201072868
evaluated2423325201074592142171226276306351406
on28543252010750105
three450335201073085120165210
real685335201073580130158
PolSAR86833680864484107151205253
data.11473352010755105135185210
Experimental13823352010755105160205240268348393448478528557
results1964335201073580120175203233273
shows2262335201074095145213253
that2540335201073085135165
the2730335201073085130
covariance450345201074595142192227255305360405450
and9253452010750105160
coherence1110345201074595150195230275330375420
features1555345201073075125155210245290330
can1910345201074595150
give2085345201074574120165
better2275345201075095125155200235
performance253534520107551001351652152504503552010780130185230275
than750355201073085135190
other965355201075080135180215
polarimetric12053552010755105133184219247327372402437465510
decomposition17403552010755100145195275330380420449479507557612
features,2377355201073075125155210245290330355
and27573552010750105160
complementary450365201074595175230258303383428483513563598645
between1120365201075095125193238283338
different1483365201075584114144189224269324354
polarimetric18623652010755105133183218247327372402437465510
decomposition2397365201075510014519527533038045037520107406898127177232
features707375201073075125155210245290330
improving10623752010728108163198248295323378423
the1510375201073085130
classification1665375201074573123163203232259287332382412440490545
performance.22353752010755100135165215250330380435480525550
Although450385201076897127182232287332387
a8623852010750
weak9373852010768113163213
classifier1175385201074573124163203232259287332367
gives1567385201074573120165205
unsatisfactory17973852010755110150200230258298328378423453503538585
classification2407385201074573123163203232259287332382412440490545
accuracy450395201075095140195230280325372
on8473952010750105
polarimetric9773952010755105133183218247327372402437465510
decomposition15123952010755100145195275330380420448478507557612
features,2149395201073075125155210245290330355
the2529395201073085130
performance26843952010755100135450405201073080115195245300345390
can865405201074595150
be1040405201075095
highly1160405201075584129184212259
improved14444052010728108163198248295340395
by1864405201075096
using1985405201075595124179224
EL223440680864484
strategies.2343405201074070105155185230275303348388413
Introduction450431101512470100129174219265308337360405451
Land4504442010755100155209
cover684444201074595145190224
classification933444201074575120160199229256284329374403433483538
is1496444201072969
one15904442010750105150
of1764444201075080
the1869444201073084129
primary2023444201075590120199244279329
objectives2377444201075099124169214244274323368408
of2810444201075079
remotely450454201073580160210239284314364
sensed839454201073984139179224278
image11424542010730110155200244
processing,1411454201075590140185229269309339393438463
analysis,18994542010745100144174224264294333358
and22824542010745100155
practical2461454201075590135180209239284329359
application.2845454201074499450464201075585115159204234264314368393
Synthetic8684642010755105160189244289319349393
Aperture12864642010770125170205234289324369
Radar16794642010761105160205240
(SAR)19444642010729197346580854410014821214642010730
opens21764642010750104149204244
new2445464201075599174
opportunities26444642010750105159209244274329450474201075585115144189229
for704474201073079114
land843474201073075130184
cover1052474201074595145190224
classification1301474201074575120159199229256284329373403433483538
owing18634742010750125155210255
to2142474201073080
its224747420107306099
day23714742010755100150
and25454742010745100155
night,2725474201075584129184214239
all-weather,450484201074575105134209254299329383428463483
and958484201074599154
high-resolution1137484201075585129184214249294334383413468498528577632
observation17944842010750100140184219269314344373423478
capability2297484201074590144189239269299328358408
to2730484201073080
the2834484201073085130
Earth’s4504942010755100135164219244279
surface.754494201074094129159204249293318
But10974942010760115145
due12664942010755110155
to1446494201072979
the1550494201073085130
low1704494201073080155
information1884494201072984114164199279323353383433488
content2397494201074494149179224278308
of2730494201075080
an2835494201074499
individual450504201073085140169219249304359403433
SAR908505808544100148
image,10815042010730110154199244269
single-polarization1375504201074069124169199244273328378408453487517562607637667716771
or2171504201075085
single-band2281504201073969124169199243273323368423477
SAR2783505808544100148
data31582160010755100130174
cannot3356216001074590145200249279
provide3660216001075590140189219274319
highly4004216001075585130185215265
accurate4292216001074590135190224269299344
land4661216001073074129184
cover4870216001074594144189224
classification5120216001074574119159199229256283328373403433482537
maps31582260010780125180219
(Herold34012260010730100145180229259314
et3740226001074575
al.,38392260010750793918226001072550
2004;3993226001075099149199224
Lee4242226001075599144
et4411226001074575
al.,45102260010750794588226001072550
2002).4663226001075099149199229254
On49412260010770125
the5091226001073085130
contrary,5245226001074595150180214259294344362
PolSAR315823770854484108152207255
images34382360010730110154199244284
contain3747236001074594149179224254308
a40802360010745
large4150236001073075109154199
amount43742360010745124174229284314
of4712236001075080
potential48172360010755105135179234264294339368
information5210236001073085115164199279324354384433488
which31582460010775130160204259
is3442246001073070
directly3536246001075585120165210239269319
related3880246001073579109154184229283
to4188246001073080
physical42932460010755109159199229274319348
properties4666246001075590140194239274304334378418
of5109246001075080
natural52132460010755100130185220264294
media553224600107801253158256001075585130
and33122560010745100155
backscattering3492256001075094139189229274318348378423458488542587
mechanism.41042560010780125169224269324354393473498
Therefore,46272560010760115159194239269319354398423
full5075256001073085114144
polarized52442560010755105135179214244289334388
SAR3158267708544100148
imagery33302660010730110154199244279329
classification3684266001074474119159199228256283328373403432482537
has42462660010755100139
become4410266001075095140190269314
a47492660010745
popular48192660010755104159214244289323
and51672660010745100155
challenging53472660010744991441742042483033483157276001073085130
problem3311276001075590140190220264344
in3680276001073085
recent3790276001073479124169224253
years4068276001075095140175214
due43072760010755110155
to4486276001073080
its459127600107306099
potential47152760010755105135179234264294339368
applicability51082760010745100155185214259304354384413443473523
in3157286001073085
different3266286001075585115145190224269324354
fields.364528600107275599129184224249
With39182860010790117146201
the4144286001073085130
goal4298286001074595140170
of4492286001075080
achieving4597286001074590144174219269299354398
high5020286001075585130184
classification52292860010745751201591992292562843293733157296001073060110164
accuracy,3346296001074590135190224269314364382
many37532960010780125179229
supervised,4007296001074095149194229279309349393448473
unsupervised,45052960010755109149204259304339388418458503558582
and51122960010745100155
semi-supervised529229600107398416419422426331831573060010755100135184214254299354
classification3536306001074474119159199228256283328373403432482537
methods40983060010780125154209259314354
have44763060010755100150195
been4695306001075095140195
developed.4915306001075599149194224274328373428453
Usually,53933060010770109164209239269318337
the3157316001073085130
adopted33113160010745100150205235279334
features3670316001073075119149204239284323
in4018316001073085
classification4128316001074574119159199229256283328373403433482537
include4690316001073085129159214269314
scattering5029316001073984129159189233268298353398
matrix54513160010780125155190220269
elements,3157326001074575120199244299329369393
covariance3575326001074595145190225254299354399444
matrix40433260010780125155190219269
elements4337326001074575120199244299329369
and47303260010745100155
coherent4910326001074594149194229274329358
matrix52933260010780125155189219269
elements,3157336001074575120199244299329369393
and35753360010745100155
polarimetric37543360010755105135180215244324369399434464508
decomposition42873360010755100145195274329379419449478508558613
features4925336001072974119149204239283323
(Cloude5273336001073090119169224279324
et3157346001074575
al.,32563460010750793335346001072550
1997;3410346001075099149199224
Du36593460010765119
et3803346001074575
al.,39023460010750783981346001072550
1996;4056346001075099149199224
Krogager,4305346001076599149194239284329363383
m47133460010780
1994;48183460010750100149199224
Qi50673460010770100
et5191346001074575
al.,52903460010750785368346001072550
2012;5443346001075099149199224
Song31573560010755105160204
et3387356001074575
al.,34863560010750783564356001072550
2007;3639356001075099149199224
Wang38883560010790130184229
et4142356001074575
al.,42413560010750784319356001072550
2013).4394356001075099149199229254
Generally,32773660010765110165210245290320350400418
developing37203660010755100150195225275330360415460
advanced42053660010745100150195250295340395
classifiers,4625366001074575120160200230258285330365405430
or5080366001075085
optimizing519036600107501051351652452753203157376001073085130
the3312376001073085130
input3467376001073085140195225
features3717376001073075120150205240285325
or4067376001075085
adopting41773760010745100150205235265320365
novel45673760010755105155200230
pattern48223760010755100130160205240295
recognition5142376001073580125175220275305335365415470
methods31573860010780125155210260315355
are3537386001074580125
the3687386001073085130
three3842386001073085120165210
common4077386001074595175255305360
ways44623860010775120170210
get4697386001074590120
better4842386001075095125155200235
classification5102386001074575120160200230257285330375405435485540
performance.31573960010755100135165215250330375430475520545
It3727396001073060
is3812396001073070
worth39073960010775125160190245
noting41773960010755105135165220265
that,4467396001073085130160185
finding4677396001072755110165195250295
the4997396001073085130
optimal51523960010750105135165245290320
features54973960010730751203157406001073085120165205
and33874060010745100155
best3567406001075095135165
classifier3757406001074575120160200230257285330365
is4147406001073070
always4242406001074575150195245285
hard,45524060010755100135190215
maybe47924060010780125175225270
even5087406001074595140195
impossible.530740600107301101652152552953253157416001075080125150
However,33324160010770120195240290335370390
a37474160010745
better3817416001075095125155200235
classification4077416001074575120160200230258285330375405435485540
result4642416001073580120175205235
may49024160010780125175
be5102416001075095
achieved5222416001074590145175220270315370
by56174160010750100
combining3157426001074595175225255310340395440
multiple36224260010780135165195225280310355
classifiers4002426001074575120160200230257285330365405
and44324260010745100155
various4612426001075095130160210265305
features4942426001073075120150205240285325
by52924260010750100
using5417426001075595125180225
ensemble31574360010745100140185265315345390
learning3572436001073075120155210240295340
(EL)3937436001073039674377085448840554360010730
strategies.4110436001074070105150180225270300345385410
Since3278446001075585140185230
“strong3533446001074585115150200255300
and38584460010745100155
weak40384460010775120165215
learn4278446001073075120155210
ability4513446001074595125155185215265
are4803446001074580125
equivalent”4953446001074595150180230275305350405435480
was54584460010775120160
proofed3158456001075590140190220265320
by35034560010750100
Robert36284560010760110160205240270
E.3923456001075580
Schapire40284560010755100155200255285320365
(Schapire,4418456001073085130185230285315350395420
1990),48634560010750100150200230255
more51434560010780130165210
options53784560010751106135165215270310
are3158466001074580125
available3308466001074595140170200245295325370
to3703466001073080
get3808466001074590120
an39534660010745100
improved40784660010730110165200250300345400
classification4503466001074575120160200230257285330375405435485540
performance50684660010755100135165215250330375430475520
through3158476001073085120170225270325
EL,35084777085448835954760010725
which36454760010775130160205260
can3930476001074590145
integrate4100476001073085115160205240285315360
the4485476001073085130
benefits4640476001075095150195222250280320
of4985476001075080
different5090476001075585115145190225270325355
features,54704760010730751203157486001073085120165205230
classifiers,3412486001074575120160200230257285330365405430
and38674860010745100155
combination4047486001074595175225255310355385415465520
methods.45924860010780125155210260315355380
As49974860010770110
an51324860010745100
advanced52574860010745100150195250295340395
machine31574960010780125170225255310355
learning3537496001073075120155210240295340
framework,3902496001073065110190235310360395445470
EL439849770854488
is4510496001073070
able4605496001074595125170
to4800496001073080
boost49054960010750100150190220
weak51504960010775120165215
learners,53904960010730751201552103158506001074580120145
working33285060010775125160210240295340
slightly3693506001074070100145200230260310
or4028506001075085
obviously41385060010750100150180230285325355405
better4568506001075095125155200235
than4828506001073085130185
random5038506001073580135190240320
guessing538350600107451001451852253158516001073085130
to3313516001073080
strong3418516001074070105155210255
learners,3698516001073075120155210255290330355
thus4078516001073085140180
making42835160010780125175205260305
accurate4613516001074590135190225270300345
predictions.4983516001075590135190220265295325375430470495
In3278526001073085
spite3388526001074095125155200
of3613526001075080
the3718526001073085130
considerable3873526001074595150190220275320355400450480525
amount44235260010745125175230285315
of4763526001075080
work48685260010775125160210
on51035260010750105
the5233526001073085130
use5388526001075595140
of5553526001075080
EL315853770854488
for3270536001073080115
remote3410536001073580160210240285
sensing3720536001074085140180210265310
image40555360010730110155200245
classification4325536001074575120160200230257285330375405435485540
in4890536001073085
the5000536001073085130
past51555360010755100140170
years,5350536001075095140175215240
few3157546001073075150
applications33325460010745100155185215260305335365415470510
of3867546001075080
EL397254770854488
to4085546001073080
PolSAR419054770854484108152208256
image44715460010730110155200245
classification4741546001074575120160200230257285330375405435485540
could5306546001074595150180235
be5566546001075095
found3158556001073080135190245
in3428556001073085
literature353855600107306090135170215245300335380
(Jiong394355600107306090140195240
et4207556001074575
al.,43075560010750784386556001072550
2008;44615560010750100150200225
Loosvelt47115560010755105155195245290320350
et5086556001074575
al.,518655600107507810352895560010725
2012;53395560010750100150200225
Min31585660010785115170
et3352566001074575
al.,34525660010750783531566001072550
2009;36065660010750100150200225
She38565660010755110155
et4036566001074575
al.,2007).41365660010750784214566001072550100150200250280305
In4544566001073085
this4654566001073085115155
paper,48345660010755100155200235255
EL511556770854488
techniques52285660010730751201753158576001075585135190235275
such3458576001074095140195
as3678576001074585
Bagging,37885760010760105150195225280325350
AdaBoost,41635760010770125170230280330370400425
and46135760010745100155
Rotation47935760010760110140185215245295350
Forest51685760010755105140185225255
are5448576001074580125
introduced3158586001073085115150200255310355400455
to3638586001073080
PolSAR374258770854484108152208256
image40245860010730110155200245
classification4294586001074575120160200230257285330375405435485540
based4859586001075095135180235
on51195860010750105
different5249586001075585115145190225270325355
polarimetric31575960010755105135180215245325370400435465510
features.3692596001073075120150205240285325350
To40675960010760102
evaluate4194596001074595140170225270300345
the4564596001073085130
performance47195960010755100135165215250330375430475520
of5264596001075080
various536959600107509513016031576060010750105145
EL332860770854488
methods,34416060010780125155210260315355380
some3846606001074090170215
benchmark4086606001075095150195250330375410460
classifiers4571606001074575120160200230257285330365405
such5001606001074095140195
as5221606001074585
support5331606001074095150205255290320
vector3157616001075095140170220255
machine34376160010780125170225255310355
(SVM),381761600107303848617708544961644011616001073055
logistics4091616001073080125155195225255300340
decision44566160010755100145175215245295350
tree,4831616001073065110155180
simple5036616001074070150205235280
logistic5341616001073080125155195225255300
decision31576260010755100145175215245295350
tree,3532626001073065110155180
and37376260010745100155
k-Nearest3917626001075080150195240275320360390
Neighbor43326260010770115145190245295345380
are4737626001074580125
experimented4887626001074595150195230260340385440470515570
and54826260010745100155
compared.3157636001074595175230275310355410435
Besides,36176360010760105145175230275315340
different3982636001075585115145190225270325355
ensemble43626360010745100140185265315345390
strategies4777636001074070105150180225270300345385
for5187636001073080115
classifier5327636001074575120160200230257285330365
combination3157646001074595175225255310355385415465520
such3702646001074095140195
as3922646001074585
voting,40326460010750100130160215260285
stacking4342646001074070115160210240295340
generation,4707646001074590145190225270300330380435460
and51926460010745100155
multiAlim.Samat53726460010780135165195225450528701077099128208232286330409454483
and957528701074498152
Peijun1133528701075599128152207261
are1418528701074478123
with15645287010775104133187
the1776528701072983127
Key19275287010765109158
Laboratory21085287010755100149198232276306355389438
for2570528701073079113
Satellite2706528701075510012917320245053870107305988132
Mapping6065387010784129183237266320365
Technology994538701076096140194248297326376420469
and1487538701074498153
Applications16635387010770124178207236280325354383432486525
of2211538701075180
State2314538701075584128157201
Administration25385387010770125204233287316356385419463450548701073059108163
of636548701075079
Surveying,7395487010755109143192236286315369413437
Mapping12005487010785129183237266321365
and1589548701074498153
Geoinformation17655487010765109158187242271320354433478507536585639
of2428548701075079
China,25305487010760115144198242266
Nanjing28205487010770114168450558701072554108153
University,6265587010770124153203247281320349378428445
Kunshan10955587010765119173212266310365
Building,14835587010760114143173227256310354378
Nanjing18855587010770114168192222276320
University22285587010770125154203247281321350379428
Xianlin2679558701076595139193222251305
Campus,4505687010760104183238292331355
No.163,8295687010770119143192241291315
Xianlin1167568701076594139193222251305
Dadao,14965687010765109163207256281
Qixia1800568701077099148178222
District,2045568701076594134163197226270299324
Nanjing23925687010770114168193222276320
City,2736568701076089118167185
Jiangsu450578701073059103158202241295
Province,768578701075590139188217271316360384
China11755787010760115144198242
2100231441578701075099148197247296
(alim.smt@gmail.com).1761578701072973102132211235274353383449493572617646675699743792872901925
Muhammad4505937010785140195240320400445500
Hasan9755937010770115155200255
Ali12555937010770100130
Baig14105937010760105135180
is1615593701073070
with17105937010775105135190
the1925593701073085130
Institute2080593701073085125155185215270300345
of2450593701075080
Remote25555937010760105185235265310
Sensing4506037010755100155195225280325
Applications,8006037010770125180210240285330360390440495535560
Chinese13856037010760115145200245285330
Academy17406037010770115160215260340390
of2155603701075080
Sciences,22606037010755100130175230275320360385
Hyperspectral26706037010770120175220255450613701074095140185215250295325
Remote8006137010760105185235265310
Sensing11356137010755100155195225280325
Laboratory14856137010755100150200235280310360395445
(HRS),19556137010730100160215245270
No.20,22506137010770120145195245270
Dutun25456137010765120150205260
Lu,28306137010755110135
Chaoyang4506237010760115160210260305360405
District,880623701076595135165200230275305330
Beijing,12356237010760105135160190245290315
China,15756237010760115145200245270
100101.18706237010750100150200250300325
Sumit4506387010755110190220250
Chakravarty7256387010760115160210245290340385420450500
is1250638701073070
with13456387010775105135190
the1560638701073085130
Department17156387010765110165210245275355400455485
of2225638701075080
Engineering23306387010755110155185240285330365395450495
and28506387010745100155
Computer4506487010760110190245300330375410
Science,8856487010755100130175230275320345
New12556487010770115190
York14706487010765108143193
Institute1688648701073085125155185215270300345
of2058648701075080
Technology,2163648701076097142197252302332382427477495
90326846487010750100150
Tree450658701076087132177
Creek652658701076095140185235
Parkway,9126587010755100135185260305355373
Lawrenceville,13106587010755100175210255310355400450480510540585610
GA,19456587010765135160
30043.21306587010750100150200250276
Liang450673701075585130185230
Cheng7056737010760115160215260
is990673701073070
with10856737010775105135190
the1300673701073085130
Key14556737010765110160
Laboratory16406737010755100150200235280310360395445
for2110673701073080115
Satellite22506737010755100130175205235265295340
Mapping26156737010785130185450683701075585140185
Technology660683701076097142197252302332382427477
and11626837010745100155
Applications13426837010770125180210240285330360390440495535
of1902683701075080
State2007683701075585130160205
Administration22376837010770125205235290320360390425470500530580635
of450693701075080
Surveying,5556937010755110145195240290320375420445
Mapping10256937010785130185240270325370
and14206937010745100155
Geoinformation16006937010765110160190245275325360440485515545595650
of2275693701075080
China,23806937010760115145200245270
Kunshan26756937010765120175450703701074095140195
Building,6707037010760115145175230260315360385
Nanjing10807037010770115170195225280325
University14307037010770125155205250285325355385435
Xianlin1890703701076595140195225255310
Campus,22257037010760105185240295335360
No.163,26107037010770120145195245295320
Xianlin450713701076595140195225255310
Dadao,7857137010765110165210260285
Qixia10957137010770100150180225
District,1345713701076595135165200230275305330
Nanjing17007137010770115170195225280325
City,2050713701076090120170188
Jiangsu2263713701073060105160205245300
Province,2588713701075590140190220275320365390
China4507237010760115145200245
210023.7207237010750100150200250300325
Photogrammetric37306657010755110160190240285320365445525570600635665710
Engineering44656657010755110155185240285330365395450495
&49856657010760
Remote50706657010760105185235265310
Sensing54056657010755100155195225280325
Vol.40466765010765108138163
80,42346765010750100125
No.43846765010771121146
3,4555676501075075
March46556765010785130165210265
2014,49456765010750100150200225
pp.51956765010755110135
239–251.53556765010750100150200250300350375
0099-1112/14/8003–239472968730107501001502002302803303804304655155656006507007518018519019511001
©38277001010767
201439197001010750100150200
American41447001010770150195230260305350405
Society45747001010755105150180225255305
for4904700101073080115
Photogrammetry50457001010755110160190240285320365445525570600635685
and48907109010745100155
Remote50707109010760105185235265310
Sensing54057109010755100155195225280325
doi:45347237010755105135160
10.14358/PERS.80.3.239471972370107501001251752252753253754104655205806356607107607858368619119611011
ASPRS553187016183157240330403
MEMBERS9881870161108191299385468558631
AND1651187016183175267
SUBSCRIBERS,1949187016174165251324410499548634717807880911
CLICK2891187016186165214300390
HERE3312187016196179269352
TO3696187016179171
READ3899187016189173256348
THE4278187016180176259
ENTIRE4569187016183175254303393476
ARTICLE5077187016183173252301387466550