beliefa

beliefa's Stars

• JunMa11/SegLossOdyssey

  A collection of loss functions for medical image segmentation

  Language:Python4k9747611

• AstarLight/Satellite-Segmentation

  Language:Python6251681232

• nshaud/DeepHyperX

  Deep learning toolbox based on PyTorch for hyperspectral data classification.

  Language:Python4731549125

• Hsuxu/Loss_ToolBox-PyTorch

  PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

  Language:Jupyter Notebook33581457

• KGPML/Hyperspectral

  Deep Learning for Land-cover Classification in Hyperspectral Images.

  Language:Jupyter Notebook3012119139

• crowdAI/crowdai-mapping-challenge-mask-rcnn

  Mask-RCNN baseline for the crowdAI Mapping Challenge

  Language:Jupyter Notebook26013073

• danfenghong/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

  Language:Python25652740

• lironui/Double-Branch-Dual-Attention-Mechanism-Network

  Hyperspectral Image Classification

  Language:Python2234444

• suvojit-0x55aa/A2S2K-ResNet

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

  Language:Python2045535

• mhaut/hyperspectral_deeplearning_review

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

  Language:Python2035457

• AnkurDeria/HSI-Traditional-to-Deep-Models

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

  Language:Jupyter Notebook1624335

• WangZhenqing-RS/Unet_RSimage_Multi-band_Multi-class

  keras遥感图像Unet语义分割(支持多波段&多类)

  Language:Python1521040

• zhangjinyangnwpu/HSI_Classification

  Classification for hyperspectral imagery

  Language:Python13211332

• likyoo/Multimodal-Remote-Sensing-Toolkit

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

  Language:Python923512

• ShuGuoJ/HSI-Classification

  646121

• YonghaoXu/RPNet

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

  Language:MATLAB571021

• leeguandong/3D-DenseNet-for-HSI

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

  Language:Python470115

• drivenow/HSI-Classification

  HyperSpectral Image Classification With DeepLearning

  Language:Python312018

• JunYue0214/SSL-for-HSI-classification

  Code for a paper accepted by TGRS

  Language:Python202511

• hkzhang-git/LWNet

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

  Language:Python18027

• qichaoliu/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.

  Language:Python13117

• xueyouyou/HResNetAM

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

  Language:Python13105

• RSIDEA-WHU2020/FreeNet

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

  Language:Python9002

• LK2018/hsi-classification

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

  Language:Python7101

• ShuGuoJ/CNN-HSI

  Language:Python6203

• mengkunzhao/Double-Branch-Dual-Attention-Mechanism-Network

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

  Language:Python2100

• githubltqc/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.

  Language:Python1000