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Extract forest information using the mixed end-members from images and field survey data

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6 Author(s)
Xuzhi Chen ; Sch. of Geogr. & Environ, JXNU, Nanchang, China ; Ruixin Pan ; Lingling Zhang ; Xianggui Zeng
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Using linear unmixed model to obtain forest information is widely accepted at present, in which extraction of end-members is mainly acquired from remote sensing images directly. In this paper, the advantage of extracting the end-member images is analysed. The linear unmixed model was applied to the mixed end-members. The results of the research show that the computer simulation results are accurate and correct rate is higher than 85% with 60 random sample points from field investigation.

Published in:

Geomatics for Integrated Water Resources Management (GIWRM), 2012 International Symposium on

Date of Conference:

19-21 Oct. 2012