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Effective and understanding exploration of hyperspectral remote sensing data necessitates the development of sophisticated schemes that represent images. Such schemes ideally preserve and recognize si...
In this paper, series of experimental studies about the neural network model for whiskbroom remote sensing imagery geometry correction methods based on BPNN (Back-Propagation Neural Networks) and RBFN...
In the last twenty-five years a great number of vectorization methods were developed. In this paper we first give an overview about the most known methods, and then propose a vectorization algorithm b...
DISCRIMINATION ABILITY OF NEURAL NETWORK AND MAXIMUM LIKELIHOOD CLASSIFIERS.

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