Abstract
Abstract Sensor stripes evident in multisensor imagery can cause subsequent image classification to fail, if not removed properly. Of the destriping algorithms investigated, the one published by Horn and Woodham seemed to be the most promising, although, due to an inherent conceptual flaw, it can produce unexpected results. The problem with the original algorithm of Horn and Woodham arises from the fact that under certain circumstances it is extremely sensitive to statistically insignificant differences in the image data recorded by the individual sensors. This problem can be overcome by acquiring image statistics from homogeneous sub-images only.
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