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

Volume

6

fYear

2002

fDate

24-28 June 2002

Firstpage

3483

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International

Print_ISBN

0-7803-7536-X

Type

conf

DOI

10.1109/IGARSS.2002.1027223

Filename

1027223