frankxzq / JAG_FDDAN

Code for the paper: Feature disentanglement based domain adaptation network for cross-scene coastal wetland hyperspectral image classification

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JAG_FDDAN

This is a code demo for the paper: Feature disentanglement based domain adaptation network for cross-scene coastal wetland hyperspectral image classification

Some of our code references the projects: https://github.com/Li-ZK/CLDA-2022

Requirements

python = 3.7.16

torch = 1.8.1+cu111

scikit-learn = 1.0.2

numpy = 1.21.6

Datasets

You can download PaviaU-C dataset here: https://github.com/YuxiangZhang-BIT/Data-CSHSI.

For the Yellow River Delta dataset, please contact: li.zhongwei@vip.163.com

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Code for the paper: Feature disentanglement based domain adaptation network for cross-scene coastal wetland hyperspectral image classification


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Language:Python 100.0%