The repository contains the implementations for Coupled Adversarial Learning for Fusion Classification of Hyperspectral and LiDAR Data

[GRSL 2022] PyTorch implementation of Convolution Transformer Mixer for Hyperspectral Image Classification.

A PyTorch Library for Multi-Task Learning

Source code for submitted paper titled "HSI-Mixer: Hyperspectral Image Classification Using the Spectral--Spatial Mixer Representation From Convolutions"

paper:Enhanced Multiscale Feature Fusion Network for HSI Classification

Semi-Supervised Hyperspectral Image Classification

Weighted Feature Fusion of Convolutional Neural Network and Graph Attention Network for Hyperspectral Image Classification

PyTorch implementation of "Deep Plug-and-Play Prior for Hyperspectral Image Restoration" (Neurocomputing 2022)

Few-shot Learning with Class-Covariance Metric for Hyperspectral Image Classification, TIP, 2022

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UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery. Also, including other vision transformer and CNN for satellite, aerial image and UAV i…

Unsupervised Meta Learning With Multiview Constraints for Hyperspectral Image Small Sample set Classification

This is the reserch code of the IEEE TIP paper “Rotation-Invariant Attention Network for Hyperspectral Image Classification”.

Deep Multiview Learning for Hyperspectral Image Classification

This repository is the implementation of our paper: Local Correntropy Matrix Representation for Hyperspectral Image Classification, which has been published on IEEE TGRS.

Official implementation of T3SC (Neurips 2021)

SGML: A Symmetric Graph Metric Learning Framework for Efficient Hyperspectral Image Classification, JSTARS, 2021

3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising (TNNLS 2020)

Implementation of Hang et al. 2020 "Hyperspectral Image Classification with Attention Aided CNNs" for tree species prediction