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Proceedings Paper

Geometric object/image relations for radar
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Paper Abstract

Recent research in invariant theory has determined the fundamental geometric relation between objects and their corresponding 'images.' This relation is independent of the sensor (ex. RADAR) parameters and the transformations of the object. This relationship can be used to extract 3-D models from image sequences. This capability is extremely useful for target recognition, image sequence compression, understanding, indexing, interpolating, and other applications. Object/image relations have been discovered for different sensors by different researchers. This paper presents an intuitive form of the object/image relations for RADAR systems with the goal of enhancing interpretation. This paper presents a high level example of how a 3-D model is constructed directly from RADAR (or SAR) sequences (with or without independent motion). the primary focus is to provide a basic understanding of how this result can be exploited to advance research in many applications.

Paper Details

Date Published: 24 August 2000
PDF: 8 pages
Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); doi: 10.1117/12.396364
Show Author Affiliations
D. Gregory Arnold, Air Force Research Lab. (United States)
Kirk Sturtz, Veridian Engineering (United States)

Published in SPIE Proceedings Vol. 4053:
Algorithms for Synthetic Aperture Radar Imagery VII
Edmund G. Zelnio, Editor(s)

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