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Proceedings Paper

Characterizing SAR image complexity for ATR
Author(s): Mark L. Axtell; James Catanzarite; Steven W. Worrell
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Paper 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.

Paper Details

Date Published: 13 August 1999
PDF: 12 pages
Proc. SPIE 3721, Algorithms for Synthetic Aperture Radar Imagery VI, (13 August 1999); doi: 10.1117/12.357682
Show Author Affiliations
Mark L. Axtell, Veridian Inc. (United States)
James Catanzarite, Veridian Inc. (United States)
Steven W. Worrell, Wright State Univ. (United States)


Published in SPIE Proceedings Vol. 3721:
Algorithms for Synthetic Aperture Radar Imagery VI
Edmund G. Zelnio, Editor(s)

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