Title :
Linear mixing model based on optimization method for land cover mapping using LANDSAT ETM+ and SPOT-HRV data
Author :
Aban, J.E.L. ; Tsolmon, R. ; Tateishi, R.
Author_Institution :
Center for Environ. Remote Sensing, Chiba Univ., Japan
Abstract :
The study was aimed at determining the relative proportions of ground cover components in a mixed pixel. A new estimator is introduced, which is based on optimization method and is used for the derivation of land cover classification maps. Fraction images were derived from the two reflective channels 3 and 4 of LANDSAT ETM+ and channels 2 and 3 of SPOT data. This research indicated that the use of optimization method might lead to improvements in mapping and analyses of land cover changes. It has been shown that the use of non-standard estimators can lead to significant increase in the accuracy of estimation.
Keywords :
geophysical signal processing; image classification; optimisation; terrain mapping; LANDSAT ETM+ data; SPOT-HRV data; fraction images; ground cover components; land cover mapping; linear mixing model; mixed pixel; nonstandard estimators; optimization method; reflective channels; Data mining; Infrared imaging; Infrared spectra; Layout; Optimization methods; Pixel; Remote sensing; Satellites; Spatial resolution; Testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1027223