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Evaluation of AMOEBA: a spectral-spatial classification method

Journal of Applied Photographic Engineering
By: , and 

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Abstract

Muitispectral remotely sensed images have been treated as arbitrary multivariate spectral data for purposes of clustering and classifying. However, the spatial properties of image data can also be exploited. AMOEBA is a clustering and classification method that is based on a spatially derived model for image data. In an evaluation test, Landsat data were classified with both AMOEBA and a widely used spectral classifier. The test showed that irrigated crop types can be classified as accurately with the AMOEBA method as with the generally used spectral method ISOCLS; the AMOEBA method, however, requires less computer time.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Evaluation of AMOEBA: a spectral-spatial classification method
Series title Journal of Applied Photographic Engineering
Volume 8
Issue 3
Year Published 1982
Language English
Publisher Society for Imaging Science and Technology
Contributing office(s) Earth Resources Observation and Science (EROS) Center
Description 4 p.
First page 159
Last page 162
Online Only (Y/N) N
Additional Online Files (Y/N) N