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	Estimation of fractional vegetation cover by unmixing HJ-1 satellite hyperspectral data
	Liao, Chunhua ; Zhang, Xianfeng ; Bao, Huiyi
	2012
英文摘要	Remote sensing provides the possibility for large-scale or even global monitoring of the fractional vegetation cover (FVC). In this paper, multiple endmember spectral mixture analysis (MESMA) method was used to extract vegetation information of Xinjiang's Shihezi area using the hyperspectral data acquired by Chinese HJ-1/HSI small satellite in the arid area. The Endmember average root mean square error (EAR) and pure pixel index (PPI) indices were combined to select the endmember spectra. The retrieved FVC from the HJ-1/HSI image data was verified with the in-situ measurements, and compared with the linear spectral mixture model (LSMM) result. The comparison shows that the MESMA method enables the use of different endmember combinations for different image pixels, thus can perform much better than the simple linear spectral unmixing analysis in the estimation of regional fractional vegetation cover information. ? 2012 IEEE.; EI; 0
语种	英语
DOI标识	10.1109/EORSA.2012.6261182
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/412248]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Liao, Chunhua,Zhang, Xianfeng,Bao, Huiyi. Estimation of fractional vegetation cover by unmixing HJ-1 satellite hyperspectral data. 2012-01-01.

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