Land-Surface Classification with Unevenness and Reflectance Taken into Consideration
In this chapter, we describe an adaptive system to classify land surface by taking unevenness and reflectance into consideration. We deal with inter-ferograms on the basis of the complex-valued Markov random field (CMRF) model in statistics. We generate an adaptively segmented map in terms of the complex-valued texture of land-surface reflection by using the complex-valued self-organizing map (CSOM) that processes CMRF-based feature vectors.
KeywordsSegmentation Result Neural Connection Complex Texture Rocky Area Hebbian Rule
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