期刊
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
卷 42, 期 10, 页码 2085-2095出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2004.835299
关键词
convex geometry; endmember; hyperspectral; normalization; simplex
Several of the more important endmember-finding algorithms for hyperspectral data are discussed and some of their shortcomings highlighted. A new algorithm-iterated constrained endmembers (ICE)-which attempts to address these shortcomings is introduced. An example of its use is given. There is also a discussion of the advantages and disadvantages of normalizing spectra before the application of ICE or other endmember-finding algorithms.
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