Wenchao QI's repositories
scalable_RNN_HSI
Source code of "Scalable Recurrent Neural Network for Hyperspectral Image Classification"
GCN_HSI_Classification
It's a experiment that applying the graph convolution neural network for hyperspectral image classification
HyperSpec-WGAN
Synthetic Data Augmentation using a Generative Adversarial Network for Improved Hyperspectral Image Classification
ASSMN
The code implementation of our paper "Adaptive Spectral-Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification" (IEEE TGRS, 2020).
CACNN
Deep Collaborative Attention Network for Hyperspectral Image Classification by Combining 2-D CNN and 3-D CNN, JSTARS, 2020
CBW
Compact Band Weighting Module Based on Attention-Driven for Hyperspectral Image Classification
CoCosNet
Pytorch Implementation of the paper ["Cross-domain Correspondence Learning for Exemplar-based Image Translation"](https://panzhang0212.github.io/CoCosNet)
Deep-Recurrent-Neural-Networks-for-Hyperspectral-Image-Classification
Mou et al., Deep Recurrent Neural Networks for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 55(7), 3639-3655, 2017.
DeepNRD
Source code of "Neighboring Region Dropout for Hyperspectral Image Classification"
Double-Branch-Dual-Attention-Mechanism-Network
This repository implementates 6 frameworks for hyperspectral image classification based on PyTorch and sklearn.
GraphConvSC
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image
HSI-classification-using-GRUs
The repository contains hyperspectral data and GRU code for its classification.
HSI_BPN
This is a neural network tool for hyperspectral classification
IEEE_GRSL_EndNet
Danfeng Hong, Lianru Gao, Renlong Hang, Bing Zhang, Jocelyn Chanussot. Deep Encoder-Decoder Networks for Classification of Hyperspectral and LiDAR Data, IEEE GRSL, 2020.
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.
ImageProcessing-Python
该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。
JSTARS_DPN-HRA
Deep Prototypical Networks With Hybrid Residual Attention for Hyperspectral Image Classification, JSTARS, 2020
keras-transformer
Keras library for building (Universal) Transformers, facilitating BERT and GPT models
Matlab-Hyperspectral-Analysis-System
将高光谱图像的分类处理工程化/Engineering the classification processing of hyperspectral image
MCNN-based_HSI_Classification
MCNN-CP：Hyperspectral Image Classification Using Mixed Convolutions and Covariance Pooling (TGARS 2020)； MCNN-PS & Oct-MCNN-PS：Hyperspectral Image Classification Using Hybrid Octave and Sub-Pixel Convolutional Neural Network (TGARS Submitted)
MDL4OW
S. Liu, Q. Shi and L. Zhang, "Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3018879.
NAS-HRIS
Neural Architecture Search for High-resolution Remote Sensing Image Segmentation
reservoir-id-cnn
Human-Made Reservoir Identification using convolutional neural network.
smokey
A simulation of pollutants diffusing through the air, finite volume element sim.
SpecPatConv3D-Network
An implementation of the neural network described in "Convolution Based Spectral Partitioning Architecture for Hyperspectral Image Classification"
TGRS2020_MSC-EDKELM
Multiscale Context-aware Ensemble Deep KELM for Efficient Hyperspectral Image Classification, TGRS, 2020.