论文阅读笔记：多模态的融合数据和方法

论文题目： Multimodal remote sensing benchmark datasets for land cover classification with a shared and specific feature learning model
论文链接： https://www.sciencedirect.com/science/article/pii/S0924271621001362?dgcid=rss_sd_all.
代码链接：https://github.com/danfenghong/ISPRS_S2FL
引用方式：

@article{HONG202168,
title = {Multimodal remote sensing benchmark datasets for land cover classification with a shared and specific feature learning model},
journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
volume = {178},
pages = {68-80},
year = {2021},
issn = {0924-2716},
doi = {https://doi.org/10.1016/j.isprsjprs.2021.05.011},
url = {https://www.sciencedirect.com/science/article/pii/S0924271621001362},
author = {Danfeng Hong and Jingliang Hu and Jing Yao and Jocelyn Chanussot and Xiao Xiang Zhu},
}

一、背景：融合方法

① 特征级联

② 共有特征和特有特征的分离处理

二、本文的方法

本文使用第二种融合方法

三、数据

①：HS-MS Houston2013 data

②：HS-SAR Berlin data

③：HS-SAR-DSM augsburg data

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