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home/Knowledge Base/CODES/Hyperspectral/Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects

Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects

March 30, 2022

Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects
Muhammad Ahmad, Sidrah Shabbir, Swalpa Kumar Roy, Danfeng Hong, Xin Wu, Jing Yao, Adil Mehmood Khan, Manuel Mazzara, Salvatore Distefano, and Jocelyn Chanussot.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
vol. 15, pp. 968-999, 2022
DOI: 10.1109/JSTARS.2021.3133021

Article Link: https://ieeexplore.ieee.org/document/9645266
Github code repository: https://github.com/AnkurDeria/HSI-Traditional-to-Deep-Models
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  • An Offset Graph U-Net for Hyperspectral Image Classification
  • Multimodal Fusion Transformer for Remote Sensing Image Classification
  • Unsupervised Deep Learning-Based Pansharpening With Jointly Enhanced Spectral and Spatial Fidelity
  • Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing

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  • CODES
    • Anomaly
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    • Classification of Hyperspectral Images
    • Classification of Remote Sensing Data
    • Data fusion: hyperspectral + Lidar
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    • Synthetic Aperture Radar and Radar Sounder
    • Target Detection
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  Hyperspectral Imagery Classification via Random Multi-Graphs Ensemble Learning

Graph Convolutional Networks for Hyperspectral Image Classification  

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