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Remote Sensing Technology and Application  2008, Vol. 23 Issue (3): 272-277    DOI: 10.11873/j.issn.1004-0323.2008.3.272
article     
The Application and Evaluation of Two Methods Based on LSMM Model
--------A Case Study in Guangzhou
FAN Feng-lei
(School of Geography,South China Normal University,Guangzhou 510631,China)
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Abstract  

Currently,there were lots of methods on urban impervious surface researching,such as Linear Spectral Un-mixing method,Non-linear Spectral Un-mixing method,Matched Filtering method and so on,however, among all these methods the Linear Spectral Un-mixing method was applied popularly and wildly by the researchers.The Linear Spectral Un-mixing method based on Linear Spectral Mixing Model (LSMM) and obtained the proportion of each land types in each pixel through un-mixing each pixel in the remote sensing image.This paper used Purity Pixel Index (PPI) and manual selection method to select end-member and gained the abundance images of each end-member in each pixel and the RSME image by using linear spectral un-mixing method.At last,it obtained the impervious surface weight image of 8 areas in Guangzhou.Besides,this paper analyzed the two end-member selection methods and evaluated the precision of the result from the qualitative standpoint.The result revealed that the method could abtain the impervious surface weight image of 8 areas in Guangzhou efficiently and the manual selection method could gain the weight image with more precision than the PPI method.

Key words:  End-member      Linear Spectral Mixing Model       Purity Pixel Index(PPI)      Impervious surface     
Received:  28 February 2008      Published:  25 October 2011
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Cite this article: 

FAN Feng-lei. The Application and Evaluation of Two Methods Based on LSMM Model
--------A Case Study in Guangzhou. Remote Sensing Technology and Application, 2008, 23(3): 272-277.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2008.3.272     OR     http://www.rsta.ac.cn/EN/Y2008/V23/I3/272

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