Semi-supervised classification for hyperspectral remote sensing image based on PCA and kernel FCM algorithm

Semi-supervised classification for hyperspectral remote sensing image based on PCA and kernel FCM algorithm

Author(s):

X. Liu ( Univ. of Electronic Science and Technology of China, China )
B. He ( Univ. of Electronic Science and Technology of China, China )
X. Li ( Univ. of Electronic Science and Technology of China, China )

Publication title:

Geoinformatics 2008 and Joint Conference on GIS and Built Environment : classification of remote sensing images : 28-29 June 2008, Guangzhou, China

Title of ser.:

Proceedings of SPIE - the International Society for Optical Engineering

Ser. no.:

7147

Pub. Year:

2008

Page(from):

71471I-1

Page(to):

71471I-10

Pages:

10

Pub. info.:

Bellingham, Wash.: Society of Photo-optical Instrumentation Engineers

ISSN:

0277786X

ISBN:

9780819473899 [0819473898]

Language:

English

Call no.:

P63600/7147

Type:

Conference Proceedings

Details

TDL ID:	ZA00052778
Series ID:	PA00000029
Conf. info. (Name):	International Conference on GeoInformatics
Conf. info. (Number):	2008 : 16th
Conf. info. (Venue):	Guangzhou, China
Conf. info. (Date):	2008.06.28-2008.06.29
Note for article:	Geoinformatics 2008 and Joint Conference on GIS and Built Environment, 28-29 June 2008, Guangzhou, China - Session 4. Hyperspectral Image Analysis, 71471I, 7147-53

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