DocumentCode
2135067
Title
Spectral linear mixing model in low spatial resolution image data
Author
Haertel, Victor ; Shimabukuro, Yosio E.
Author_Institution
Center for Remote Sensing, Fed. Univ. at Rio Grande do Sul, Porto Alegre, Brazil
Volume
4
fYear
2004
fDate
20-24 Sept. 2004
Firstpage
2546
Abstract
The aim of this study consists in proposing and testing a methodology to estimate the spectral reflectance of the component classes in the mixed pixel problem, for the case of low spatial resolution image data. The well known linear mixing model is modified in order to estimate the components spectral reflectance. Terra-MODIS image data, with a pixel size of 500 m is used to test the results.
Keywords
geophysical techniques; image resolution; Terra-MODIS image data; low spatial resolution image data; mixed pixel problem; spectral linear mixing model; spectral reflectance; Equations; Image sampling; Image sensors; Least squares approximation; Multispectral imaging; Pixel; Reflectivity; Remote sensing; Spatial resolution; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN
0-7803-8742-2
Type
conf
DOI
10.1109/IGARSS.2004.1369815
Filename
1369815
Link To Document