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Proceedings Paper

Design and evaluation of a multistage object-detection approach
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Paper Abstract

Accurate detection of unique objects with minimal false alarm rates is an important requirement for most reconnaissance tasks. This paper presents a methodology for developing an object detection system which examines the spectral, spatial and topographic features in a step-wise manner. The algorithms developed are tested using high resolution thermal infrared images. Multiresolution analysis to improve the performance this approach is also discussed. Results of these experiments show a definite promise for the approach.

Paper Details

Date Published: 1 January 1990
PDF: 9 pages
Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); doi: 10.1117/12.21048
Show Author Affiliations
Mukul V. Shirvaikar, Univ. of Tennessee/Knoxville (United States)
Mohan M. Trivedi, Univ. of Tennessee/Knoxville (United States)


Published in SPIE Proceedings Vol. 1293:
Applications of Artificial Intelligence VIII
Mohan M. Trivedi, Editor(s)

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