Accession Number:

ADP007216

Title:

Using Projection Pursuit in Multispectral Image Analysis,

Personal Author(s):

Corporate Author:

BATH UNIV (UNITED KINGDOM) SCHOOL OF MATHEMATICAL SCIENCES

Report Date:

1992-01-01

Abstract:

Principal components analysis is already used in multispectral image analysis to reduce the number of spectral dimensions. We, propose to use projection pursuit to find interesting combinations of spectral variates that produce images that enhance, contrast differences between differing land-use types. We develop a 3-dimensional moment index based on Jones and Sibsons index for projection into 2-dimensions.

Supplementary Note:

This article is from 'Computing Science and Statistics: Proceedings of the Symposium on Interface Critical Applications of Scientific Computing (23rd): Biology, Engineering, Medicine, Speech Held in Seattle, Washington on 21-24 April 1991,' AD-A252 938, p579-582.

Pages:

0004

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File Size:

0.00MB

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