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home/Knowledge Base/CODES/Pansharpening/Unsupervised Deep Learning-Based Pansharpening With Jointly Enhanced Spectral and Spatial Fidelity

Unsupervised Deep Learning-Based Pansharpening With Jointly Enhanced Spectral and Spatial Fidelity

September 4, 2023

Unsupervised Deep Learning-Based Pansharpening With Jointly Enhanced Spectral and Spatial Fidelity
M. Ciotola, G. Poggi and G. Scarpa,

in IEEE Transactions on Geoscience and Remote Sensing,
vol. 61, pp. 1-17, 2023, Art no. 5405417,
doi: 10.1109/TGRS.2023.3299356.

GitHub repo: https://github.com/matciotola/Lambda-PNN

 

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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
    • 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
    • Tensor
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  • DATA

  Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders

UIU-Net: U-Net in U-Net for Infrared Small Object Detection  

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