Simulation framework for spatio-spectral anomalous change detection
2009
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.
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