Geometric object/image relations for radar

D. Gregory Arnold; Kirk Sturtz

doi:10.1117/12.396364

24 August 2000 Geometric object/image relations for radar

D. Gregory Arnold, Kirk Sturtz

Proceedings Volume 4053, Algorithms for Synthetic Aperture Radar Imagery VII; (2000) https://doi.org/10.1117/12.396364
Event: AeroSense 2000, 2000, Orlando, FL, United States

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.

Citation Download Citation

D. Gregory Arnold and Kirk Sturtz "Geometric object/image relations for radar", Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); https://doi.org/10.1117/12.396364

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