Classification Methods for Remotely Sensed Data by Brandt Tso PDF

By Brandt Tso

This complete emphasizes new equipment considering the extraction of thematic details from remotely sensed photographs, together with neural networks (especially synthetic neural networks), fuzzy thought, texture and quantization, and using Markov random fields. it's concise and available and the authors finish with assurance of the cutting-edge themes of multisource facts research, evidential reasoning and genetic algorithms. together with an entire colour part and easy distant sensing thought, Classification equipment for Remotely Sensed Data will turn out worthy for complicated undergraduate scholars and graduates/researchers within the field.

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Classification Methods for Remotely Sensed Data by Brandt Tso


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