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Proceedings Paper

Detection Of Objects In High Resolution Multispectral Aerial Images
Author(s): Mohan M. Trivedi; Charles A. Harlow; Daniel H. Cress; Chuxin Chen
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Paper Abstract

In this paper problem of detecting unique objects in high resolution multispectral imagery is addressed. The approach is to effectively utilize information extracted from images with available knowledge about various attributes characterizing objects. The analysis involves processing of both spectral and spatial domain information. Feasibility of the approach is verified by performing experiments using high resolution multispectral images. Results are promising and it is believed that computational requirements for the approach can meet specifications of an operational system.

Paper Details

Date Published: 5 April 1985
PDF: 5 pages
Proc. SPIE 0548, Applications of Artificial Intelligence II, (5 April 1985); doi: 10.1117/12.948445
Show Author Affiliations
Mohan M. Trivedi, Louisiana State University (United States)
Charles A. Harlow, Louisiana State University (United States)
Daniel H. Cress, U.S. Army Corps of Engineers (United States)
Chuxin Chen, Louisiana State University (United States)

Published in SPIE Proceedings Vol. 0548:
Applications of Artificial Intelligence II
John F. Gilmore, Editor(s)

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