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home/Knowledge Base/CODES/Classification of Hyperspectral Images/Generalized Composite Kernel Framework for Hyperspectral Image Classification

Generalized Composite Kernel Framework for Hyperspectral Image Classification

March 20, 2015

Generalized Composite Kernel Framework for Hyperspectral Image Classification
J. Li, P. R. Marpu, A. Plaza, J. M. Bioucas-Dias and J. A. Benediktsson

IEEE Transactions on Geoscience and Remote Sensing
Volume: 51 , Issue: 9
DOI : 10.1109/TGRS.2012.2230268
Publication Year: 2013 , Page(s): 4816-4829

Tags:extended multiattribute morphological profiles (MPs)generalized composite kernelhyperspectral imagingmultinomial logistic regression (MLR)supervised classification
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1 .pdf 2.68 MB IEEE_TGRS_2013_Junli_Composite
2 .zip 12.26 MB demo_GCK
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Categories
  • CODES
    • Anomaly
    • Change Detection
    • Classification of Hyperspectral Images
    • Classification of Remote Sensing Data
    • Data fusion: hyperspectral + Lidar
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    • Deep Learning
    • Denoising
    • Feature Extraction
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    • Hyperspectral Super Resolution
    • Infrared
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    • Multi-modal
    • Object Detection
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    • Sequences
    • Spectral Unmixing
    • Super Resolution
    • Synthetic Aperture Radar and Radar Sounder
    • Target Detection
    • Tensor
  • DATA

  Graph Convolutional Networks for Hyperspectral Image Classification

Fast Forward Feature Selection of Hyperspectral Images for Classification With Gaussian Mixture Models  

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