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home/Knowledge Base/CODES/Spectral Unmixing/Hyperspectral Image Segmentation Using a New Spectral Unmixing-Based Binary Partition Tree Representation

Hyperspectral Image Segmentation Using a New Spectral Unmixing-Based Binary Partition Tree Representation

February 6, 2018

Hyperspectral Image Segmentation Using a New Spectral Unmixing-Based Binary Partition Tree Representation
Miguel A. Veganzones; Guillaume Tochon; Mauro Dalla-Mura; Antonio J. Plaza; Jocelyn Chanussot

IEEE Transactions on Image Processing
DOI: 10.1109/TIP.2014.2329767

Year: 2014, Volume: 23, Issue: 8, Pages: 3574 – 3589

Tags:binary Partition Treehyperspectral imagingsegmentationspectral unmixingunmixing
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Categories
  • CODES
    • Anomaly
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    • Classification of Hyperspectral Images
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  Hyperspectral Image Unmixing With Endmember Bundles and Group Sparsity Inducing Mixed Norms

Hyperspectral endmember extraction using convex geometry  

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