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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Centroid and Covariance Alignment-Based Domain Adaptation for Unsupervised Classification of Remote Sensing Images
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Centroid and Covariance Alignment-Based Domain Adaptation for Unsupervised Classification of Remote Sensing Images

机译：基于Centroid和协方差对齐的遥控域适应遥感图像的无监督分类

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摘要

A new domain adaptation algorithm based on the class centroid and covariance alignment (CCCA) is proposed for classification of remote sensing images. This approach exploits both the first- and second-order statistics to describe the data distribution and aligns the data distribution between domains on a per-class basis. Since the predicted labels of target data are used to estimate the two statistics, we applied overall centroid alignment (OCA) as a coarse domain adaptation strategy to improve the estimation accuracy. In addition, the OCA coarse adaptation in conjunction with CCCA refined adaptation can also benefit by incorporation of spatial information, resulting in a Spa_OCA_CCCA approach. The proposed approach is easy to implement, and only one parameter is required in the spatial filtering step. It does not require labeled information in the target domain and can achieve labor-free classification. The experimental results using Hyperion, National Center for Airborne Laser Mapping, and Worldview-2 remote sensing images demonstrated the effectiveness of the proposed approach.
机译：提出了一种基于质心和协方差对准（CCCA）的新域适应算法，用于遥感图像的分类。这种方法利用第一阶和二阶统计数据来描述数据分布，并将域之间的数据分布对准每个级别的基础。由于目标数据的预测标签用于估计两个统计数据，因此我们将总质心对准（OCA）应用于粗大域适应策略以提高估计精度。此外，与CCCA精制适配结合的OCA粗调也可以通过掺入空间信息，从而产生SPA_OCA_CCCA方法。所提出的方法易于实现，在空间过滤步骤中只需要一个参数。它不需要在目标域中标记的信息，并可以实现无劳动分类。使用Hyperion，National Airbore激光测绘中心的实验结果和WorldView-2遥感图像显示了所提出的方法的有效性。

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  • 作者

    Ma Li; Crawford Melba M.; Zhu Lei; Liu Yong;

  • 作者单位

    China Univ Geosci Sch Mech Engn & Elect Informat Wuhan 430074 Hubei Peoples R China|Chinese Acad Sci Key Lab Spectral Imaging Technol Xian 710119 Shaanxi Peoples R China;

    Purdue Univ Sch Civil Engn W Lafayette IN 47907 USA;

    China Univ Geosci Sch Mech Engn & Elect Informat Wuhan 430074 Hubei Peoples R China|China Elect Technol Cyber Secur Co Ltd Chengdu 610041 Sichuan Peoples R China;

    China Univ Geosci Sch Mech Engn & Elect Informat Wuhan 430074 Hubei Peoples R China;

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  • 正文语种 eng
  • 中图分类
  • 关键词

    Alignment; classification; domain adaptation; remote sensing;

    机译：对齐;分类;域适应;遥感;

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