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Proceedings Paper

Evaluation of object level change detection techniques
Author(s): John M. Irvine; Stuart Bergeron; Doug Hugo; Michael A. O'Brien
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Paper Abstract

A variety of change detection (CD) methods have been developed and employed to support imagery analysis for applications including environmental monitoring, mapping, and support to military operations. Evaluation of these methods is necessary to assess technology maturity, identify areas for improvement, and support transition to operations. This paper presents a methodology for conducting this type of evaluation, discusses the challenges, and illustrates the techniques. The evaluation of object-level change detection methods is more complicated than for automated techniques for processing a single image. We explore algorithm performance assessments, emphasizing the definition of the operating conditions (sensor, target, and environmental factors) and the development of measures of performance. Specific challenges include image registration; occlusion due to foliage, cultural clutter and terrain masking; diurnal differences; and differences in viewing geometry. Careful planning, sound experimental design, and access to suitable imagery with image truth and metadata are critical.

Paper Details

Date Published: 7 May 2007
PDF: 11 pages
Proc. SPIE 6566, Automatic Target Recognition XVII, 656614 (7 May 2007); doi: 10.1117/12.720196
Show Author Affiliations
John M. Irvine, Science Applications International Corp. (United States)
Stuart Bergeron, Science Applications International Corp. (United States)
Doug Hugo, National Geospatial-Intelligence Agency (United States)
Michael A. O'Brien, National Geospatial-Intelligence Agency (United States)

Published in SPIE Proceedings Vol. 6566:
Automatic Target Recognition XVII
Firooz A. Sadjadi, Editor(s)

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