Adaptive Dropblock Enhanced GenerativeAdversarial Networks for Hyperspectral Image Classification

Last update: Dec 28, 2022

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Overview

This repo holds the codes of our paper:

Adaptive Dropblock Enhanced GenerativeAdversarial Networks for Hyperspectral Image Classification, which is acctetped by IEEE Transactions on Geoscience and Remote Sensing.

The demo has not been well organized. Please contact me if you meet any problems.

Please cite our paper if you use our codes. Thanks!

If you have any queries, please do not hesitate to contact me ( gaofeng AT ouc.edu.cn ).

More codes can be obtained from http://feng-gao.cn

Requirements: Python >= 3.6, PyTorch and torchvision

The PaviaU.mat and PaviaU_gt.mat stands for the Pavia University dataset and it's corresponding labels respectively, and the PCU.mat is the result of the Pavia University dataset after PCA.

Owner

Feng Gao

Associate Professor at Vision Lab in Ocean University of China. My research interests include remote sensing image change detection and classificaiton.

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Adaptive Dropblock Enhanced GenerativeAdversarial Networks for Hyperspectral Image Classification

Related tags

Overview

Owner

Feng Gao

Pytorch implement of 'Unmixing based PAN guided fusion network for hyperspectral imagery'

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