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Volumn 4478 LNCS, Issue PART 2, 2007, Pages 612-619

Dependent component analysis: A hyperspectral unmixing algorithm

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; INDEPENDENT COMPONENT ANALYSIS; LINEAR SYSTEMS; MATRIX ALGEBRA; SPECTRUM ANALYSIS;

EID: 38049105654     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72849-8_77     Document Type: Conference Paper
Times cited : (6)

References (19)
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    • N-findr: An algorithm for fast autonomous spectral end-member determination in hyperspectral data
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    • Unsupervised signature extraction and separation in hyperspectral images: A noise-adjusted fast independent component analysis approach
    • Tu, T.: Unsupervised signature extraction and separation in hyperspectral images: A noise-adjusted fast independent component analysis approach. Opt. Eng. of SPIE 39(4), 897-906 (2000)
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    • Spectral unmixing of hyperspectral images with the independent component analysis and wavelet packets
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    • (2001) Proc. of IEEE IGARSS
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    • Does independent component analysis play a role in unmixing hyperspectral data?
    • Nascimento, J., Dias, J.: Does independent component analysis play a role in unmixing hyperspectral data? IEEE Trans. Geosci. Rem. Sens. 43(1), 175-187 (2005)
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  • 10
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.