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International Journal of Remote Sensing Volume 27, 2006 - Issue 21
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Original Articles

Sensor‐independent analysis method for hyperspectral data based on the pattern decomposition method

Lifu Zhang National Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, People's Republic of ChinaCorrespondence[email protected]
,
S. Furumi Laboratory of Nature Information Science, Department of Information and Computer Sciences, Nara Women's University, Nara, 630‐8506, Japan
,
K. Muramatsu Laboratory of Nature Information Science, Department of Information and Computer Sciences, Nara Women's University, Nara, 630‐8506, Japan; KYOUSEI Science Center for Life and Nature, Nara Women's University, Nara, 630‐8506, Japan
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N. Fujiwara Laboratory of Nature Information Science, Department of Information and Computer Sciences, Nara Women's University, Nara, 630‐8506, Japan; Laboratory of Nature Information Science, Department of Information and Computer Sciences, Nara Industrial University, Nara, 630‐8530, Japan
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M. Daigo Department of Economics, Doshisha University, Kyoto, 602‐8580, Japan
&
Liangpei Zhang National Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, People's Republic of China
Pages 4899-4910 | Accepted 17 Mar 2006, Published online: 22 Feb 2007

References

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  • Muramatsu , K. , Furumi , S. , Fujiwara , N. , Hayashi , A. , Daigo , M. and Ochiai , F. 2000 . Pattern decomposition method in the albedo space for Landsat TM and MSS data analysis. . International Journal of Remote Sensing , 21 : 99 – 119 .
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  • Zhang L, Mitsushita Y, Furumi S, Muramatsu K, Fujiwara N, Daigo M, Zhang L. 2003. Universality of modified pattern decomposition method for satellite sensors. In. Asia GIS Conference. Wuhan, 8–11 October 2003. Available at: www.hku.hk/cupem/asiagis/publications.htm (accessed 8 April 2005)

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