A hyperspectral remote sensing image classification model for inclusion and reproduction.

Pytorch implementation of Multimodal Fusion Transformer for Remote Sensing Image Classification.

Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

MCNN-CP：Hyperspectral Image Classification Using Mixed Convolutions and Covariance Pooling (TGARS 2021)； Oct-MCNN-HS：3D Octave and 2D Vanilla Mixed Convolutional Neural Network for Hyperspectral Image Classification With Limited Samples (Remote Sensing, 2021)

PyTorch implementation of the paper - Revisiting Deep Hyperspectral Feature Extraction Networks via Gradient Centralized Convolution

This is the code of the paper Multiple Spectral Resolution 3D Convolutional Neural Network for Hyperspectral Image Classification. And the paper has been accpeted by remote sensing.

Deep Matrix Capsules Implementation

Parallel Multi-Input Mechanism-Based Convolutional Neural Network

Hyperspectral Image Classification, Feature Expansion, Multi-dimensional Information Expansion and Processing Network (MIEPN)

《SGT: A Generalized Processing Model for 1-D Remote Sensing Signal Classification》

ACDFSL for Hyperspectral Image Classification

Implementation of a Hybrid Hypergraph Attention Network for hyperspectral image classification. Includes data preprocessing with PCA and SLIC, scripts for data downloading, training, evaluation, and Jupyter notebooks for experimentation. Uses DL frameworks and scientific computing libraries.

Compression and Reinforced Variation (CRV) Method

Machine learning pipeline to classify hyperspectral images of fields.

Random Shuffling Strategy, Siamese and Knowledge Distillation Network (SKDN), Hyperspectral Image Classification

A novel class-independent domain adaptation (CIDA) algorithm for hyperspectral image zero-shot classification

Hyperspectral image classification lib in MATLAB.

Hyperspectral Image (HSI) Recognition