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deephyperx

Deep learning toolbox based on PyTorch for hyperspectral data classification.

deeplearning_cv_notes

:notebook: deepleaning notes.

deeplearningbook-chinese

Deep Learning Book Chinese Translation

demo_spectral_spatial_hyperspectral_classification

This is a code set for spectral-spatial hyperpsectral classifcation, including the EMAP, Gabor, LORSAL, LibSVM, MRF, and LBP methods.

dhcnet

The Tensorflow implement of the DHCNet

double-branch-dual-attention-mechanism-network

This repository implementates 6 frameworks for hyperspectral image classification based on PyTorch and sklearn.

eccv2020-code

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

ed-dmm-uda

expert_readed_books

2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，**类，数学类，人物传记书籍

extendedmorphologicalprofiles

Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles

faal

Code for the article 'Hyperspectral Image Classification with Feature-Oriented Adversarial Active Learning'.

fdssc

A Fast Dense Spectral-Spatial Convolution Network Framework for Hyperspectral Images Classification(FDSSC)

fgcn

Fractional Gabor Convolutional Network for Multi-source Remote Sensing Data Classification

freenet

FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification

fusenet

A keras based implementation of FuSENet as in paper "Fused Squeeze-and-Excitation Network for Spectral-Spatial Hyperspectral Image Classification"

gcn_hsi_classification

It's a experiment that applying the graph convolution neural network for hyperspectral image classification

gigcn

graphconvsc

Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image

graphneuralnetwork

《深入浅出图神经网络：GNN原理解析》配套代码

hfsl

Heterogeneous Few-shot Learning for Hyperspectral Image Classification

hsi-classification

hsi-sdecnn

Source code of "A Single Model CNN for Hyperspectral Image Denoising"

hsi-traditional-to-deep-models

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

hsid-cnn

Q. Yuan, Q. Zhang, J. Li, H. Shen, and L. Zhang, "Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network," IEEE TGRS, 2019.

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".

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

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

hypelcnn

A Deep Learning Classification Framework with Spectral and Spatial Feature Fusion Layers for Hyperspectral and Lidar Sensor Data

hyperspectral-autoencoders

Tools for training and using unsupervised autoencoders and supervised deep learning classifiers for hyperspectral data.

hyperspectral-classification

Hyperspectral-Classification Pytorch

hyperspectral-image-classification-based-on-3d-octave-convolution-with-spatial-spectral-attention