Repository for testing various Hyperspectral Image Classification algorithms.
- EDA for Indian Pines
- Create train dataset for Indian Pines
- Indian Pines classification with LeNet
- Indian Pines classification with ViT
- Indian Pines classification with SpectralFormer
- Indian Pines classification with FactoFormer
- Indian Pines classification with GSViT
- Indian Pines classification with DBDA
- Indian Pines classification with SSFTTNET
- Indian Pines classification with FDSSC
- Indian Pines classification with SSRN
- Indian Pines classification with DCTN
- Indian Pines classification with modified DBDA (fusion by cross attention)
- Indian Pines ground classification with LeNet
- Indian Pines bin classification with LeNet
- Indian Pines ground classification with GSViT
- Indian Pines bin classification with DBDA
- Indian Pines ground classification with DBDA
- Indian Pines classification with original spatial regulated self trainining
- Indian Pines classification with modified spatial regulated self trainining
- Grid hyperparam search for original spatial regulated self trainining
- Grid hyperparam search for modified spatial regulated self trainining
- Grreed hyperparam search for original spatial regulated self trainining
- Pointwise autoencoder
- Spatial autoencoder
- ViT autoencoder
- Indian Pines classification with clustering
- Indian Pines classification with SpectralFormer and co-training
- Indian Pines classification with LeNet and co-training
- Indian Pines classification with label propagation
- Indian Pines classification with democratic co-learning
- Indian Pines classification with bin multiview training
- Indian Pines classification with positive unlabled multiview training