收录及复现的高光谱遥感图像分类模型

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)

Compression and Reinforced Variation (CRV) Method

ACDFSL for Hyperspectral Image Classification

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

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

Machine learning pipeline to classify hyperspectral images of fields.

Hyperspectral image classification lib in MATLAB.

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