yanqingming

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

CDFS-CASCL-2024

TGRS_MLUDA-2024

code for 《Mind the Gap: Mutil-Level Unsupervised Domain Adaptation for Cross-scene Hyperspectral Image Classification》

PCL

GTFN

HyperMamba

HyperMamba: A Spectral-Spatial Adaptive Mamba for Hyperspectral Image Classification

S2Mamba

The official code for the paper "S2Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification" The code will be available soon.

DM-MRN

A DEMO for "Multistage Relation Network With Dual-Metric for Few-Shot Hyperspectral Image Classification" (Zeng et al., TGRS, 2023)

ARC

HyperspectralImageClassification_CACFTNet_TGRS2024

CACFTNet: A Hybrid Cov-Attention and Cross-Layer Fusion Transformer Network for Hyperspectral Image Classification[J]," in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-17, 2024

Hyperspectral-classification-deeplearning

进度更新中

MSTV-Noise-Robust-Hyperspectral-Image-Classification-via-Multi-Scale-Total-Variation

Matlab code for Noise-Robust Hyperspectral Image Classification via Multi-Scale Total Variation, JSTARS, 2019

Hyperspectral-Image-Classification-Using-GCN

code for paper “Towards Effective Hyperspectral Image Classification Using Dual-level Deep Spatial Manifold Representation” （TGRS2021）

EMS-GCN-hyperspectral-image-classification

Demo code of "EMS-GCN: An End-to-End Mixhop Superpixel-Based Graph Convolutional Network for Hyperspectral Image Classification"

Spatial-Spectral-Transformer-for-Hyperspectral-Image-Classification

The demo of "Spatial-Spectral Transformer for Hyperspectral Image Classification"

Multispectral-to-Hyperspectral-Transformation

HyperTransformer

[CVPR'22] HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening

Local-Semantic-Feature-Aggregation-Based-Transformer-for-Hyperspectral-Image-Classification

Local Semantic Feature Aggregation-Based Transformer for Hyperspectral Image Classification

transform_learning_hyperspectral_image_classification

Transform Learning: Analysis Dictionary Learning

Hyperspectral-Vision-Transformer

A PyTorch implementation of CNN+Vision Transformer for hyperspectral image classification

Hyperspectral-Image-Classification-Models

收录及复现的高光谱遥感图像分类模型

YaTC

Code for the AAAI'23 paper "Yet Another Traffic Classifier: A Masked Autoencoder Based Traffic Transformer with Multi-Level Flow Representation"

Coarse-to-fine-correspondences

PyTorch implementation of NeurIPS 2021 paper: "CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration"

TUTDF

Underwater Target Detection from Hyperspectral Imagery

Methane-detection-from-hyperspectral-imagery

Deep Learning based Remote Sensing Methods for Methane Detection in Airborne Hyperspectral Imagery

Box-Plot-or-Statistical-Separability-Analysis-figure

This is a demo program for Box-plot figure or statistical separability analysis figure, which can be used for hyperspectral target detection, anomaly detetion or change detection and so on.

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".

DPHSIR

PyTorch implementation of "Deep Plug-and-Play Prior for Hyperspectral Image Restoration" (Neurocomputing 2022)

hyperspec_unmix

Hyperspectral Image Unmixing Program Code

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.