High-order statistics-based approaches to endmember extraction for hyperspectral imagery

High-order statistics-based approaches to endmember extraction for hyperspectral imagery

著者名:

S.-Y. Chu ( Univ. of Maryland, Baltimore County, USA )
H. Ren ( National Central Univ., Taiwan, China )
C.-l Chang ( Univ. of Maryland, Baltimore County, USA )

掲載資料名:

Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XIV : 17-19 March 2008, Orlando, Florida, USA

シリーズ名:

Proceedings of SPIE - the International Society for Optical Engineering

シリーズ巻号:

6966

発行年:

2008

開始ページ:

69661F-1

終了ページ:

69661F-11

総ページ数:

11

出版情報:

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

ISSN:

0277786X

ISBN:

9780819471574 [0819471577]

言語:

英語

請求記号:

P63600/6966

資料種別:

国際会議録

詳細

TDL書誌ID:	ZA00052597
シリーズID:	PA00000029
会議名:	Defense, Security, and Sensing : Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery
回次:	2008 : 14th
会議開催地:	Orlando, Florida, USA
会議開催年:	2008.03.17-2008.03.19
論文注記:	Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XIV, 17-19 March 2008, Orlando, Florida, USA - Spectral Unmixing, 69661F, 6966-50

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1 国際会議録 Statistics-based endmember extraction algorithms for hyperspectral imagery S. Chu, C. Wu, C. Chang SPIE - The International Society of Optical Engineering	7 国際会議録 A comparative study and analysis between vertex component analysis and orthogonal subspace projection for endmember extraction C.-C. Wu, W. Liu, H. Ren, C.-I Chang SPIE - The International Society of Optical Engineering
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