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

Last update: Jul 01, 2022

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Overview

Pgnet

There's a improved version compared with the publication in Tgrs with the modification in the deduction of the PDIN block: https://arxiv.org/abs/2201.11318

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

Please change the HSI dataset and SRF path and run the 'main.py' to train the model.

The JiaXing dataset used in this work could be available at "https://aistudio.baidu.com/aistudio/datasetdetail/124050"

We also release the code in paddle version if you use paddle framework in research. "https://aistudio.baidu.com/aistudio/projectdetail/3383847".

Please consider cite this paper if you find the dataset and code useful.

If you have any suggestions or questions, please contact the author by '[email protected]'.

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

Related tags

Overview

Pgnet

Owner

CLIP (Contrastive Language–Image Pre-training) trained on Indonesian data

Implementation of "Semi-supervised Domain Adaptive Structure Learning"

CAMoE + Dual SoftMax Loss (DSL): Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss

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