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Extraction of Hydrographic Regions from Remote Sesing Images Using an Oscillator Network with Weight Adaptation


We propose a framework for object extraction with accurate boundaries. A multilayer perceptron is used to identify seed points through examples, and regions are extracted and localized using a locally coupled network with weight adaptation. A functional system has been developed and applied to hydrographic region extraction from Digital Orthophoto Quarter-Quadrangle images.

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