hsi-classification

AnkurDeria/MFT

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

AnkurDeria/HSI-Traditional-to-Deep-Models

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

ZhengJianwei2/MCNN-based_HSI_Classification

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)

swalpa/G2C-Conv3D-HSI

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

shouhengx/MSR-3DCNN

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.

DeepMatrixCapsules/DeepMatrixCapsules

Deep Matrix Capsules Implementation

DalalAL-Alimi/ETR

Pl-2000/PMI-CNN

Parallel Multi-Input Mechanism-Based Convolutional Neural Network

Candy-CY/Multidimensional_Information_Expansion_and_Processing_Network_for_Hyperspectral_Image_Classification

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

DalalAL-Alimi/IDA

Rojan119/ACDFSL-Future-Wisdom

ACDFSL for Hyperspectral Image Classification

DalalAL-Alimi/CRV

Compression and Reinforced Variation (CRV) Method

imambujshukla7/HSI_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.

wfnian/SGT

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

Candy-CY/Random_Shuffling_Data_for_Hyperspectral_Image_Classification_with_SKDN

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

theolepage/hsi-classification

Machine learning pipeline to classify hyperspectral images of fields.

TTUDhanushka/HsiClassifier

Hyperspectral image classification lib in MATLAB.

AlbertoMartinPerez/CNN_HSI_AzureML

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 classify brain hyperspectral images from raw images, providing classification maps with labeled tissues.

kifakh/Bayesian-CNN-for-HSI

Bayesian CNN for HSI accuracy improvment

kifakh/Deep-Transfer-learning-for-HSI

Hyperspectral Image Classification using Deep Transfer Learning