beliefa

Loss_ToolBox-PyTorch

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

SegLossOdyssey

A collection of loss functions for medical image segmentation

Multimodal-Remote-Sensing-Toolkit

A python tool to perform deep learning experiments on multimodal remote sensing data.

SSCDenseNet

刘启超, 肖亮, 刘芳, 徐金环. SSCDenseNet:一种空-谱卷积稠密网络的高光谱图像分类算法[J]. 电子学报, 2020, 48(4): 751-762. LIU Qi-chao, XIAO Liang, LIU Fang, XU Jin-huan. SSCDenseNet:A Spectral-Spatial Convolutional Dense Network for Hyperspectral Image Classification. Acta Electronica Sinica, 2020, 48(4): 751-762.

Double-Branch-Dual-Attention-Mechanism-Network

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

Double-Branch-Dual-Attention-Mechanism-Network

Hyperspectral Image Classification

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.

HResNetAM

A demo for the hierarchical residual network with attention mechanism for hyperspectral image classification

HSI-Classification

IEEE_TGRS_SpectralFormer

Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Spectralformer: Rethinking hyperspectral image classification with transformers, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021

SSL-for-HSI-classification

Code for a paper accepted by TGRS

hsi-classification

deep learning / machine learning, pytorch / keras / tensorflow / sklearn

HSI-Traditional-to-Deep-Models

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

HSI-Classification

HyperSpectral Image Classification With DeepLearning

RPNet

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

LWNet

code for paper "(TGRS 2019) Hyperspectral Classification Based on Lightweight 3D-CNN with Transfer Learning"

DeepHyperX

Deep learning toolbox based on PyTorch for hyperspectral data classification.

A2S2K-ResNet

A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification

CNN-HSI

Unet_RSimage_Multi-band_Multi-class

keras遥感图像Unet语义分割(支持多波段&多类)

3D-DenseNet-for-HSI

paper：Three-dimensional densely connected convolutional network for hyperspectral remote sensing image classification

crowdai-mapping-challenge-mask-rcnn

Mask-RCNN baseline for the crowdAI Mapping Challenge

Satellite-Segmentation

hyperspectral_deeplearning_review

Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"

HSI_Classification

Classification for hyperspectral imagery

FreeNet

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

Hyperspectral

Deep Learning for Land-cover Classification in Hyperspectral Images.