jingyao16 Goto Github PK

academic-kickstart

almm_tip

An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing, IEEE TIP, 2019.

autoencoders

Implementation of several different types of autoencoders

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

bot-learning

cnn-al-mrf

This is the code of "Hyperspectral Image Classification with Convolutional Neural Network and Active Learning".

codes_spectralformer

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

deephyperx

Deep learning toolbox based on PyTorch for hyperspectral data classification.

dgconv.pytorch

[ICCV 2019] PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models

dncnn

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

drpnn-deep-residual-pan-sharpening-neural-network

eccv2018_j-play

Danfeng Hong, Naoto Yokoya, Jian Xu, Xiaoxiang Zhu. Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification, ECCV, 2018.

eccv2020_cucanet

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution, ECCV, 2020. (PyTorch)

euler

A distributed graph deep learning framework.

exvit

gcn

Implementation of Graph Convolutional Networks in TensorFlow

hybridsn

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

hyftech-hyperspectral-shallow-deep-feature-extraction-toolbox

This Toolbox includes Hyperspectral Feature Extraction Techniques including Unsupervised, Supervised, and Deep Feature Extraction

hyperspectral-classification

Hyperspectral-Classification Pytorch

hyperspectral-image-segmentation

Semantic Segmentation of HyperSpectral Images using a U-Net with Depthwise Separable Convolutions

hyperspectral-image-super-resolution-benchmark

A list of hyperspectral image super-solution resources collected by Junjun Jiang

hyperspectraltoolbox

HyperSpectral Matlab Toolbox forked from Sourceforge

hysure

HySure is an algorithm to fuse hyperspectral remote sensing images with either multispectral or panchromatic ones.

ieee_jstars_rlml

Danfeng Hong, Naoto Yokoya, Xiaoxiang Zhu. Learning a Robust Local Manifold Representation for Hyperspectral Dimensionality Reduction, IEEE JSTARS, 2017.

ieee_tgrs_aips

Danfeng Hong, Xin Wu, Pedram Ghamisi, Jocelyn Chanussot, Naoto Yokoya, Xiaoxiang Zhu. Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification, IEEE TGRS, 2020, 58(6): 3791-3808.

ieee_tgrs_cospace

Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiaoxiang Zhu. CoSpace: Common Subspace Learning From Hyperspectral-Multispectral Correspondences, IEEE TGRS, 2019.

ieee_tgrs_gcn

Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE TGRS, 2020.

ieee_tgrs_j-slol

Lianru Gao, Danfeng Hong, Jing Yao, Bing Zhang, Paolo Gamba, Jocelyn Chanussot. Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning, IEEE TGRS, 2020.

iguanatexmac

IguanaTex for mac