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

Author

Chen, Xuzhi ; Pan, Ruixin ; Zhang, Lingling ; Zeng, Xianggui ; Yi, Fazhao ; Lai, Geying

Author_Institution

Sch. of Geogr. & Environ, JXNU, Nanchang, China

fYear

2012

fDate

19-21 Oct. 2012

Firstpage

1

Lastpage

4

Abstract

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.

Keywords

geophysical image processing; geophysical techniques; remote sensing; vegetation; computer simulation; end-member extraction; end-member images; field investigation; field survey data; forest information extraction; linear unmixed model; mixed end-members; random sample points; remote sensing images; Analytical models; Atmospheric modeling; Biological system modeling; Data mining; Remote sensing; Soil; Vegetation mapping; End-members from Images; Endmembers from Field Survey Data; Forest Information; Mixed Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Lanzhou, Gansu

Print_ISBN

978-1-4673-1283-7

Type

conf

DOI

10.1109/GIWRM.2012.6349580

Filename

6349580