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Proceedings Paper

Gradient descent techniques for feature detection template generation
Author(s): William F. Pont Jr.; 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 Jr., 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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