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