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if_calc's Introduction

CALC

The repository contains the implementations for "Coupled Adversarial Learning for Fusion Classification of Hyperspectral and LiDAR Data". You can find the PDF of this paper.


CALC


Datasets


Train CALC

python Model/demo.py

Results

Dataset OA (%) AA (%) Kappa (%)
MUUFL 82.90 79.65 77.89
Trento 99.36 98.52 99.14
Houston 94.77 95.36 94.34

Citation

If you find this paper useful, please cite:

@article{LU2023118,
    title = {Coupled adversarial learning for fusion classification of hyperspectral and LiDAR data},
    journal = {Information Fusion},
    volume = {93},
    pages = {118-131},
    year = {2023},
    issn = {1566-2535},
    doi = {https://doi.org/10.1016/j.inffus.2022.12.020},
    url = {https://www.sciencedirect.com/science/article/pii/S156625352200269X},
    author = {Ting Lu and Kexin Ding and Wei Fu and Shutao Li and Anjing Guo}
}

Contact

Kexin Ding: [email protected]

if_calc's People

Contributors

ding-kexin avatar

Stargazers

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Watchers

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if_calc's Issues

how to select the used bands?

In the “Technical Report: Scene Label Ground Truth Map for MUUFL Gulfport Data Set” ,
"Due to noise, the first four and last four bands were removed, resulting in a new hyperspectral image
of 64 bands."
Why the 1-4 and 68-72 bands are selected to be removed?

code of colormap

请问生成逐像素分类结果颜色图的代码能分享一下吗?主要是全图逐像素分类以及测试集逐像素分类并生成对应颜色图的代码

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