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home/Knowledge Base/CODES/Spectral Unmixing/Hyperspectral endmember extraction using convex geometry

Hyperspectral endmember extraction using convex geometry

April 7, 2022

Hyperspectral endmember extraction using convex geometry
Dharambhai Shah

open source codes:

https://github.com/shahdharam7?tab=repositories
https://codeocean.com/explore/capsules?query=dharambhai

 

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Categories
  • CODES
    • Anomaly
    • Change Detection
    • Classification of Hyperspectral Images
    • Classification of Remote Sensing Data
    • Data fusion: hyperspectral + Lidar
    • Data fusion: Hyperspectral + Multispectral
    • Deep Learning
    • Denoising
    • Feature Extraction
    • Graphs
    • Graphs, Manifold
    • Hyperspectral
    • Hyperspectral remote sensing
    • Hyperspectral Super Resolution
    • Infrared
    • Machine Learning in Remote Sensing
    • Multi-modal
    • Object Detection
    • Pansharpening
    • Registration
    • Sequences
    • Spectral Unmixing
    • Super Resolution
    • Synthetic Aperture Radar and Radar Sounder
    • Target Detection
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    • Transformer
  • DATA

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

Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing  

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