presentation_statistical based classification
DESCRIPTION
PresentationTRANSCRIPT
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Pooja Mishra and Dharmendra Singh
Department of Electronics and ComputerEngineering
Indian Institute of Technology Roorkee
Roorkee-!"##"$ %ttarakhand
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ClassClass R&IR&I
Water 197
Tall vegetation 300Urban 295
Short vegetation 125
Bare soil 145
Ground data
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'eighted Polarimetric Sum ('PS)
E*hi+its lo, alue for smooth surfaces ,hilehigh alue for rough surfaces
001.0VVHVHH SSS1000WPS
++=
.ackscattering coe/cients andtheir ratios
*y polari0ation may refer topolari0ation in linear +asis (12 +asis)
$ circular +asis (3R +asis) andelliptical +asis (3inear !4 +asis)5)QIlog(10
2xy
2xy
0xy +=
D.G. Corr et al.
Etra!tion o" #olari$etri!
indi!es
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Ratio 2egetation Inde*(R2I)
6ormali0ed Di7erence Polari0ation Inde* (6DPI)
1igher the 6DPI higher theroughness
1igher alue for di7use(olume)
scatteringVVHVHH
HVRVI++
=
2
8
00
00
VHVV
VHVV
NDPI
+
=
Arii et al.
Cao et al.Cross Polari0ation Ratio (CPR)
HVHH
HVCPR
+
= %sed for separation of +are
soil and egetation
Trudel et al. 2008
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'j'and'i'classesofdeviationdardtans,'j'and'i'classesofMean,
S
ji
ji
ji
ji
ij
+
=
separationforfeatureBestS
separationforfeatureDependableS
rejectionfor!ort"#eatureS
ij
ij
ij
2
5180
80
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8h found to +e suita+le feature for
segregation of all the classes
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%ro#osed !lassi&!ation$ethod
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Class Distri+ution
Rank
Chi-s9uared statistics,ith 4: signi;cance leel
'his(uare)Statisti!s
#)value 'riti!alvalue
*+#othesis,e-e!ted
.are soil .or$al 2 /434/ 037/3 12592 .o,a+leigh 4 344 4/112E)/ 12592 es'au!h+ 1 13177 0970/7 12592 .oWeibull 3 1155 00/527 12592 .o
'ater .or$al 3 /994 033025 12592 .o,a+leigh 4 10 009215 12592 .o
'au!h+ 1 1/905 09455 12592 .oWeibull 2 594/7 04291 12592 .o
Shortegetation
.or$al 1 /7/91 034273 12592 .o
,a+leigh 4 1959/ 000327 12592 es'au!h+ 3 9/72/ 013913 12592 .o
Weibull 2 7445 02135 1252 .oTallegetation
.or$al 2 11529 011714 140/7 .o
,a+leigh 4 5594 99130E)10
140/7 es
'au!h+ 3 17437 001479 140/7 es
Weibull 1 90475 02492/ 140/7 .o%r+an .or$al 1 49709 0//352 140/7 .o
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para$etersesti$ationpara$eterocationlcontinous
para$eterscalecontinous
e%&'f%&'
==
=
2
2
2
2
1
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devstd$eanar()pperBound
devstd$eanar(*o!erBound
+==
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'lass Set < Set Set = Set ! Set 4 Set #.are soil 27074 1/252 13141 22051 17477 20733 211
7
27752 24/9 29254 25/ 227/
'ater 17/ 1494 215/7 217/3 39291 21511 309
3
30951 32073 302/ 242 3193
Short
egetation
14952 1053 1412 137 12105 1092 2370
/
23529 2329/ 25303 2372 2392/
Tall
egetation
135/7 1932 17/1/ 1/11 2/27/ 1579 1// 137 1759/ 1729 1072 1757
%r+an 11097 092431 1107 11193 115 10939 1413
1
1477/ 15495 14/3/ 15391 141
Estimated parameters of Normal density function for all the classes
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8 >
M SD M?SD M@SD M SD M?SD [email protected]
soil
195 0439
9
14//0
1
24339
9
27
0
152/
5
2933
55
2/2
2
'ater 227
/
053/
3
14249
7
31322
3
30
4
1190
/
3203
1/
29/
50
Short
eg5
123
/
01931
4
10904
/
147/7
4
239
1
0712
24/2
5
232
00
Tall
eg5
1/3 04339 14291 229/9 177
/
0705
14/
99
170
5
%r+an 1055
0019 1003/ 11/74 147
05050
1537
143/
Obtained boundaries for rane of position and scale parameter
3ocation and scale parameters of 6ormal distri+utionare mean and standard deiation$ respectiely5Therefore$ location parameter A>B may +e used for
di7erentiating arious targets5
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Urban
Short vegetation
Bare soil
Water
Tall vegetation
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