Simulation framework for spatio-spectral anomalous change detection

James Theiler; Neal R. Harvey; Reid Porter; Brendt Wohlberg

doi:10.1117/12.818632

27 April 2009 Simulation framework for spatio-spectral anomalous change detection

James Theiler, Neal R. Harvey, Reid Porter, Brendt Wohlberg

Proceedings Volume 7334, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV; 73340P (2009) https://doi.org/10.1117/12.818632
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

We describe the development of a simulation framework for anomalous change detection that considers both the spatial and spectral aspects of the imagery. A purely spectral framework has previously been introduced, but the extension to spatio-spectral requires attention to a variety of new issues, and requires more careful modeling of the anomalous changes. Using this extended framework, we evaluate the utility of spatial image processing operators to enhance change detection sensitivity in (simulated) remote sensing imagery.

Citation Download Citation

James Theiler, Neal R. Harvey, Reid Porter, and Brendt Wohlberg "Simulation framework for spatio-spectral anomalous change detection", Proc. SPIE 7334, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, 73340P (27 April 2009); https://doi.org/10.1117/12.818632

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