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- W3213610147 abstract "Multi-source S.A.R image texture classification using an artificial neural network modelPhilippe Mainguenaud, Robert JeansoulinPierre et Marie Curie University,Perception Automatique Reseau Connectionniste, Paris, FranceABSTRACTS .A.R image classification work is completely different with optical image work. Information comesfrom electro-magnetics property of soil. We characterize all kind of soil with texture. This notion dependson noise found from pixel information. Rules and principles of inherence from different kind of soil arenot known. We use neural network to build them through example data. After few trials, we select van-ogramme encoding to describe local fluctuations of pixel values from analyse window. Single informationhas achieved its limits. We must find another source of information to divide nearest texture classes. Westudy different architectures of treatment to fit the methodology to the found difficulties to divide classes.Image fiPening change strongly textural information found from each class. We hope increase number ofinformation source from the application of different kind of filter on rough image. We analyse the roughimage (hole resolution) from (5x5) size analyse window or (lixil) size analyse window and the damagedresolution (by factor 2) image from (5x5) size analyse window. We study several stages." @default.
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- W3213610147 title "Multi-source S.A.R image texture classification using an artificial neural network model." @default.
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