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home/Knowledge Base/CODES/Hyperspectral/Deep Encoder–Decoder Networks for Classification of Hyperspectral and LiDAR Data

Deep Encoder–Decoder Networks for Classification of Hyperspectral and LiDAR Data

September 2, 2020

Deep Encoder–Decoder Networks for Classification of Hyperspectral and LiDAR Data
Danfeng Hong, Lianru Gao, Renlong Hang, Bing Zhang and Jocelyn Chanussot ,

IEEE Geoscience And Remote Sensing Letters
DOI: 10.1109/LGRS.2020.3017414

code: https://github.com/danfenghong/IEEE_GRSL_EndNet

Tags:classificationdeep learningencoder– decoderhyperspectralLiDARmultimodalityremote sensing
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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
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    • Graphs, Manifold
    • Hyperspectral
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    • Hyperspectral Super Resolution
    • Infrared
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    • Object Detection
    • Pansharpening
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    • Sequences
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    • Super Resolution
    • Synthetic Aperture Radar and Radar Sounder
    • Target Detection
    • Tensor
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  Matlab Codes for Fusion of Hyperspectral and LiDAR data

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