HSI_Classification

Hyperspectral Imagery Classification

Here, I show some basic and state-of-the-art methods for hyperspectral imagery classification.

For detail, please read every readme file in the specificed methods. In this readme, I give a list for these methods.

Traditional machine learning based methods

1D-CNN (to be done)
2D-CNN (to be done)
3D-CNN (to be done)
DPPN(deep pixel pair network for Hyperspectral image classification) (to be done)
DCPN(deep cube pair network for Hyperspectral image classification)(Remote Sensing2018) (to be done) link
Residual Network (to be done)
Dense Network (to be done)
Recurrent Neural Network based methods (to be done)
Learning Discriminative Compact Representation for Hyperspectral Imagery Classification(TGRS2019) link
Improving Hyperspectral Image Classification With Unsupervised Learning(IGARSS2019) (to be done)