Evaluation of object level change detection techniques

John M. Irvine; Stuart Bergeron; Doug Hugo; Michael A. O'Brien

doi:10.1117/12.720196

7 May 2007 Evaluation of object level change detection techniques

John M. Irvine, Stuart Bergeron, Doug Hugo, Michael A. O'Brien

Proceedings Volume 6566, Automatic Target Recognition XVII; 656614 (2007) https://doi.org/10.1117/12.720196
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

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.

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John M. Irvine, Stuart Bergeron, Doug Hugo, and Michael A. O'Brien "Evaluation of object level change detection techniques", Proc. SPIE 6566, Automatic Target Recognition XVII, 656614 (7 May 2007); https://doi.org/10.1117/12.720196

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KEYWORDS

Target detection

Image processing

Image fusion

Detection and tracking algorithms

Image registration

Sensors

Image analysis

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