DocumentCode :
297649
Title :
Feature selection using decision trees-an application for the MODIS land cover algorithm
Author :
Borak, Jordan S. ; Strahler, Alan H.
Author_Institution :
Dept. of Geogr., Boston Univ., MA, USA
Volume :
1
fYear :
1996
fDate :
27-31 May 1996
Firstpage :
243
Abstract :
One of the key issues involved in generating global-scale land cover maps from remote sensing data is the discarding of useless or redundant information. The decision tree offers a promising approach to extraction of meaningful features from large measurement spaces. This research examines the performance of several classifiers on subsets of features produced via decision trees
Keywords :
feature extraction; geophysical signal processing; geophysical techniques; image classification; remote sensing; IR; MODIS land cover algorithm; classifier; decision tree; decision trees; feature extraction; feature selection; geophysical measurement technique; global-scale land cover map; image classification; land surface; optical imaging; proportional sampling strategy; remote sensing; terrain mapping; visible; Classification tree analysis; Data mining; Decision trees; Earth Observing System; Extraterrestrial measurements; Layout; MODIS; Remote sensing; Satellites; Vegetation mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location :
Lincoln, NE
Print_ISBN :
0-7803-3068-4
Type :
conf
DOI :
10.1109/IGARSS.1996.516304
Filename :
516304
Link To Document :
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