Minimum distance constrained non-negative matrix factorization for the endmember extraction of hyperspectral images
作者： Yue Yu , Shan Guo , Weidong Sun
DOI: 10.1117/12.748379
关键词: Image processing 、 Endmember 、 Hyperspectral imaging 、 Multispectral image 、 Matrix decomposition 、 Non-negative matrix factorization 、 Atmospheric optics 、 Geography 、 Pattern recognition 、 Extraction (chemistry) 、 Artificial intelligence 、 Computer vision
摘要: … MDC-NMF is closely related t spectral unmixing, named minimum volume constrained nonnegative ma main differences between MVC-NMF and MDC-NMF as mentioned in se volume …
harvard.edu
sci-hub.se 参考文章(13)
Joseph W. Boardman, Fred A. Kruse, Robert O. Green, Mapping target signatures via partial unmixing of AVIRIS data ,(1995)
Daniel D. Lee, H. Sebastian Seung, Learning the parts of objects by non-negative matrix factorization Nature. ,vol. 401, pp. 788- 791 ,(1999) , 10.1038/44565
Paul Sajda, Shuyan Du, Lucas C. Parra, Recovery of constituent spectra using non-negative matrix factorization Optical Science and Technology, SPIE's 48th Annual Meeting. ,vol. 5207, pp. 321- 331 ,(2003) , 10.1117/12.504676
Lidan Miao, Hairong Qi, Endmember Extraction From Highly Mixed Data Using Minimum Volume Constrained Nonnegative Matrix Factorization IEEE Transactions on Geoscience and Remote Sensing. ,vol. 45, pp. 765- 777 ,(2007) , 10.1109/TGRS.2006.888466
J.B. Lee, A.S. Woodyatt, M. Berman, Enhancement of high spectral resolution remote-sensing data by a noise-adjusted principal components transform IEEE Transactions on Geoscience and Remote Sensing. ,vol. 28, pp. 295- 304 ,(1990) , 10.1109/36.54356
Michael E. Winter, N-FINDR: an algorithm for fast autonomous spectral end-member determination in hyperspectral data SPIE's International Symposium on Optical Science, Engineering, and Instrumentation. ,vol. 3753, pp. 266- 275 ,(1999) , 10.1117/12.366289
M.D. Craig, Minimum-volume transforms for remotely sensed data IEEE Transactions on Geoscience and Remote Sensing. ,vol. 32, pp. 542- 552 ,(1994) , 10.1109/36.297973
A.A. Green, M. Berman, P. Switzer, M.D. Craig, A transformation for ordering multispectral data in terms of image quality with implications for noise removal IEEE Transactions on Geoscience and Remote Sensing. ,vol. 26, pp. 65- 74 ,(1988) , 10.1109/36.3001
Jessica D. Bayliss, J. Anthony Gualtieri, Robert F. Cromp, Analyzing hyperspectral data with independent component analysis applied imagery pattern recognition workshop. ,vol. 3240, pp. 133- 143 ,(1998) , 10.1117/12.300050
José MP Nascimento, José MB Dias, Vertex component analysis: a fast algorithm to unmix hyperspectral data IEEE Transactions on Geoscience and Remote Sensing. ,vol. 43, pp. 898- 910 ,(2005) , 10.1109/TGRS.2005.844293