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http://dx.doi.org/10.7780/kjrs.2011.27.5.565

A Modified Iterative N-FINDR Algorithm for Fully Automatic Extraction of Endmembers from Hyperspectral Imagery  

Kim, Kwang-Eun (Korea Institute of Geoscience and Mineral Resources)
Publication Information
Korean Journal of Remote Sensing / v.27, no.5, 2011 , pp. 565-572 More about this Journal
Abstract
A modified iterative N-FINDR algorithm is developed for fully automatic extraction of endmembers from hyperspectral image data. This algorithm exploits the advantages of iterative NFINDR technique and Iterative Error analysis technique. The experiments using a simulated hyperspectral image data shows that the optimum number of endmembers can be automatically decided. The extracted endmembers and finally generated abundance fraction maps show the potentialities of the proposed algorithm. More studies are needed for verification of the applicability of the algorithm to the real hyperspectral image data where the absence of pure pixels is common.
Keywords
endmember extraction; hyperspectral imagery; N-FINDR;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Plaza, A., P. Martinez, R. Perez, and J. Plaza, 2004. Quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data, IEEE Geosci. Remote Sens., 42(3): 650-663.   DOI   ScienceOn
2 Plaza, A., J.J. Sanchez-Testal, J. Plaza, and D. Valencia, 2005. An experimental evaluation of endmember generation algorithms, Proc. of SPIE, 5995.
3 Plaza, A. and C.-I. Chang, 2005. An improved NFINDR algorithm in implementation, Proc. SPIE Symp. Defense and Security, Orlando, FL., 5806.
4 Ronen G., B. Eyal, B. Michael, A. Dov, A. Michael, and K. Alem, 2007. Hyperspectral remote sensing as a tool for geological explorationexamples from the northern Danakil depression, Eritrea, Proc. of 5th EARSel, Bruges, Belgium:1-14.
5 Winter, M.E., 1999. N-FINDR: An algorithm for fast autonomous spectral end-member determination in hyperspectral data, Proc. SPIE, 3753: 266-275.
6 Wu, C.C., S. Chu, and C.-I. Chang, 2008. Sequential N-FINDR algorithm, Proc. SPIE Conf. Imaging Spectrometry XIII, San Diego, CA.
7 Zortea, M. and A. Plaza, 2009. A quantitative and comparative analysis of different implementations of N-FINDR: a fast endmember extraction algorithm, IEEE Geosci. Remote Sens. Lett., 6(4): 787-791.   DOI
8 Baldrige, A.M., S.J. Hook, C.I. Grove, and G. Rivera, 2009. The ASTER spectral Library Version 2.0, Remote Sensing of Environment, 113(4): 711-715.   DOI   ScienceOn
9 Boarderman, J.W., F.A. Kruse, and R.O. Green, 1995. Mapping target signature via partial unmixing of AVIRIS data, Summaries of the VI JPL Airborne Earth Science Workshop, Pasadena, CA.
10 Bowles, J., D. Gillis, and P. Palmadesso, 2000. New improvements in the ORASIS algorithm, Proc. IEEE Aerospace Conference, Big Sky, MT.
11 Chang, C.-I, C.C. Wu, C.S. Lo, and M.L. Chang, 2010. Real-time simplex growing algorithms for hyperspectral endmember extraction, IEEE Geosci. Remote Sens., 48(4): 1834-1850.   DOI
12 Clark, R.N., G.A. Swayze, A.J. Gallagher, T.V.V. King, and W.M. Calvin, 1993. The U. S. Geological Survey, Digital Spectral Library: Version 1: 0.2 to 3.0microns, U.S. Geological Survey Open File Report, pp. 93-592,
13 Jia, S. and Y. Qian, 2009. Constrained nonnegative matrix factorization for hyperspectral unmixing, IEEE Geosci. Remote Sens., 47(1): 161-173.   DOI
14 Mei, S. and He M., 2010. Spatial purity based endmember extraction for spectral mixture analysis, IEEE Geosci. Remote Sens., 48(9): 3434-3445.   DOI
15 Neville, R.A,, K. Staennz, T. Szeredi, J. Lefebvre, and P. Hauff, 1999. Automatic endmember extraction from hyperspectral data for mineral exploration, Proc. 21st Can. Symp. Remote Sensing, Ottawa, ON, Canada, 21-24.
16 Plaza, A., P. Martinez, R. Perez, and J. Plaza, 2002. Spatial/spectral endmember extraction by multidimensional morphological operations, IEEE Geosci. Remote Sens., 40(9): 2025-2041.   DOI   ScienceOn
17 신정일, 김선화, 이규성, 2010. 한반도 지역의 지표특성을 고려한 분광라이브러리의 설계 및 구축, 대한원격탐사학회지, 26(5): 465-475.   DOI
18 신정일, 김선화, 윤정숙, 김태근, 이규성, 2006. 도시지역의 수문학적 토지피복 분류를 위한 초분광영상의 분광혼합분석, 대한원격탐사학회지, 22(6): 565-574.   DOI