fairygithub

LiteratureDL4Graph

A comprehensive collection of recent papers on graph deep learning

Hyperspectral-Classification

Hyperspectral-Classification Pytorch

HybridSN

A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".

africa_poverty

MUUFLGulfport

MUUFL Gulfport Hyperspectral and LIDAR Data: This data set includes HSI and LIDAR data, Scoring Code, Photographs of Scene, Description of Data

SSUN

[IEEE TGRS 2018] Spectral-Spatial Unified Networks for Hyperspectral Image Classification

RPNet

[ISPRS JP&RS 2018] Hyperspectral Image Classification via a Random Patches Network

HyperGANs

Generative Adversarial Networks for synthetic hyperspectral data generation.

HyperspectralAnalysisIntroduction

Brief Introduction to Hyperspectral Image Analysis - Jupyter Notebook

ResNet-for-hyperspectral-image-classification

Res-3D-CNN for hyperspectral image classification.

HSI-Classification

HyperSpectral Image Classification With DeepLearning

HSI-Classification

Hyperspectral image classification with varies image processing and machine learning methods.

CrownSeg

Tree Crown Image Segmentation through Clustering with RGB, Hyperspectral and LiDAR as inputs

Hyperspectral-image-classification

2018 IEEE GRSS Data Fusion Contest

Hyperspectral-Image-Classification-by-3D-Gabor-Wavelets

This is my Graduate Project on hyperspectral image classification.

tutorial-UGM-hyperspectral

A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis

HSI_Classification

Hyperspectral image classification

blind_remote_sensing

Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation

GMMDP_for_HIC

GMMDP, hyperspectral images classification, multi-view learning

SparseCoupledDictionaryLearning

This repository is designed for solving the problem of spectral super-resolution, adhering to a sparse-based machine learning technique. Our goal is to recover a high-spectral resolution multi- or hyperspectral image from only few spectral observations.

DEEP-TENSOR-FACTORIZATION-FOR-HYPERSPECTRAL-IMAGE-CLASSIFICATION

Hyperspectral image classification by exploring deep tensor facorization, published in IGARSS 2018.

Supervised-Spectral-spatial-Hyperspectral-Image-Classification-with-Weighted-Markov-Random-Fields

Hyperspectral-Imagery-Classification

Brief Introduction about Paper : Classification of Hyperspectral Imagery Using a New Fully Convolutional Neural Network

LearningHyperspectral

This code implements self-learning classifier using an Autoencoder and a Softmax classifier and attempts to classify crops using hyperspectral data. However our current result do not outperform the state of the art.

ControlledRandomSampling

This is a project to test the random sampling strategy in hyperspectral image classification.

HSIclassification

Supervised classification of hyperspectral image(HSI)

SHIP

An open package for supervised hyperspectral image classification task.

3DCNN-for-hyperspectral-image

This repository is for hyperspectral image classification with 3DCNN and mulit-scale structure

Machine-Learning-HyperSpectral-Data

Python, Machine Learning

Hyperspectral-Classification