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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1369815
