This repository contains the necessary code to train PyTorch 2D-CNN models in Azure Machine Learning. Hyperspectral Imaging management is done to feed CNN models. When models are trained, their are registered in an Azure Machine Learning workspace, which are then used as a web service using Azure Kubernetes Service. These web service are used to…

Hyperspectral Image Classification using Deep Transfer Learning

Bayesian CNN for HSI accuracy improvment

Hyperspectral image classification lib in MATLAB.

Machine learning pipeline to classify hyperspectral images of fields.

Compression and Reinforced Variation (CRV) Method

Random Shuffling Strategy, Siamese and Knowledge Distillation Network (SKDN), 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.

ACDFSL for Hyperspectral Image Classification

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

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

Parallel Multi-Input Mechanism-Based Convolutional Neural Network

Deep Matrix Capsules Implementation

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.

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

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

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