Characterizing SAR image complexity for ATR

Mark L. Axtell; James Catanzarite; Steven W. Worrell

doi:10.1117/12.357682

13 August 1999 Characterizing SAR image complexity for ATR

Mark L. Axtell, James Catanzarite, Steven W. Worrell

Proceedings Volume 3721, Algorithms for Synthetic Aperture Radar Imagery VI; (1999) https://doi.org/10.1117/12.357682
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

An objective of the ATR-community is to automate steps of the image exploitation process by using computers and machine- based reasoning systems to interpret, classify and characterize images; the primary performance goals being increased accuracy, reduced interpretation timelines, and vastly increased imagery throughput volume. The central theme of this paper is to explore the relationship between, complexity, structure, homogeneity and ATR difficulty to develop an image characterization system that is machine-based (ATR difficulty/complexity) in contrast to existing human- based (scene-content) systems.

Citation Download Citation

Mark L. Axtell, James Catanzarite, and Steven W. Worrell "Characterizing SAR image complexity for ATR", Proc. SPIE 3721, Algorithms for Synthetic Aperture Radar Imagery VI, (13 August 1999); https://doi.org/10.1117/12.357682

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