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home/Knowledge Base/CODES/Classification of Remote Sensing Data/A Spatial-Spectral Kernel Based Approach for the Classification of Remote Sensing Images

A Spatial-Spectral Kernel Based Approach for the Classification of Remote Sensing Images

February 4, 2016

A Spatial-Spectral Kernel Based Approach for the Classification of Remote Sensing Images
M. Fauvel, J. Chanussot and J.A. Benediktsson
Pattern Recognition
Volume: 45
DOI : 10.1016/j.patcog.2011.03.035
Publication Year: 2012 , Page(s): 381-392Self complementary Area filter package for Matlab
The package contains Matlab codes to perform a self complementary area filtering. The codes are based on the paper Beyond self-duality in morphological image analysis of P. Soille.

Tags:adaptive neighborhoodarea filteringcomposite kernelhyperspectral remote sensingmathematical morphologysupport vectors machinesurban area
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1 .pdf 937.00 KB patrec_12_fauvel_spatial_spectral_kernel
2 .zip 106.61 KB area_filter
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  Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks

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