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James Theiler, Neal R. Harvey, Reid Porter and Brendt Wohlberg, "Simulation framework for spatio-spectral anomalous change detection", in Proceedings of SPIE: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, Sylvia S. Shen and Paul E. Lewis (Eds), (Orlando, FL, USA), vol. 7334, doi:10.1117/12.818632, pp. 73340P, Apr 2009

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.

BibTeX Entry

@inproceedings{theiler-2009-simulation,
author = {James Theiler and Neal R. Harvey and Reid Porter and Brendt Wohlberg},
title = {Simulation framework for spatio-spectral anomalous change detection},
year = {2009},
month = Apr,
urlpdf = {http://math.lanl.gov/~brendt/Publications/Docs/theiler-2009-simulation.pdf},
booktitle = {Proceedings of SPIE: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV},
editors = {Sylvia S. Shen and Paul E. Lewis},
address = {Orlando, FL, USA},
volume = {7334},
doi = {10.1117/12.818632},
pages = {73340P}
}