Spectral Angle Mapper used to classify Hyperspectral Image
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Updated
Jan 25, 2021 - Python
Spectral Angle Mapper used to classify Hyperspectral Image
[IEEE TGRS] DIP-HyperKite: Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction
The hsdatasets package provides pytorch-DataSet wrappers for the most common hyperspectral data sets with pixel-precise ground-truth annotations.
DeepHS Benchmark: Bridging the Gap between HSI Applications through Comprehensive Dataset and Pretraining
[TGRS 2023] Official implementation for 'Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image Classification'
[TCSVT 2022] Official implementation for 'Exploring the Relationship between Center and Neighborhoods: Central Vector Oriented Self-Similarity Network for Hyperspectral Image Classification'
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