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Proceedings Paper

Radar image analysis utilizing junctive image metamorphosis
Author(s): Peter G. Krueger; Sally B. Gouge; Jim O. Gouge
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Paper Abstract

A feasibility study was initiated to investigate the ability of algorithms developed for medical sonogram image analysis, to be trained for extraction of cartographic information from synthetic aperture radar imagery. BioComputer Research Inc. has applied proprietary `junctive image metamorphosis' algorithms to cancer cell recognition and identification in ultrasound prostate images. These algorithms have been shown to support automatic radar image feature detection and identification. Training set images were used to develop determinants for representative point, line and area features, which were used on test images to identify and localize the features of interest. The software is computationally conservative; operating on a PC platform in real time. The algorithms are robust; having applicability to be trained for feature recognition on any digital imagery, not just those formed from reflected energy, such as sonograms and radar images. Applications include land mass characterization, feature identification, target recognition, and change detection.

Paper Details

Date Published: 15 September 1998
PDF: 10 pages
Proc. SPIE 3370, Algorithms for Synthetic Aperture Radar Imagery V, (15 September 1998); doi: 10.1117/12.321825
Show Author Affiliations
Peter G. Krueger, National Imagery and Mapping Agency (United States)
Sally B. Gouge, BioComputers Research Inc. (United States)
Jim O. Gouge, BioComputers Research Inc. (United States)


Published in SPIE Proceedings Vol. 3370:
Algorithms for Synthetic Aperture Radar Imagery V
Edmund G. Zelnio, Editor(s)

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