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Proceedings Paper

Gradient descent techniques for feature detection template generation
Author(s): William F. Pont; Paul D. Gader
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Paper Abstract

An algorithm is described for estimating the weights of gray-scale templates used for morphological feature detection. The problem of finding optimal templates for object detection is formulated as a statistical estimation problem. The problem is solved using a gradient descent algorithm. This procedure is applied to the problem of detecting trucks in simulated SAR imagery. Good performance is achieved with 22 of 24 trucks being identified in a test set and no false alarms.

Paper Details

Date Published: 1 July 1991
PDF: 14 pages
Proc. SPIE 1568, Image Algebra and Morphological Image Processing II, (1 July 1991); doi: 10.1117/12.46120
Show Author Affiliations
William F. Pont, Environmental Research Institute of Michigan (United States)
Paul D. Gader, Environmental Research Institute of Michigan (United States)


Published in SPIE Proceedings Vol. 1568:
Image Algebra and Morphological Image Processing II
Paul D. Gader; Edward R. Dougherty, Editor(s)

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