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首页> 外文期刊>GIScience & remote sensing >An Object-Based Method for Contrail Detection in AVHRR Satellite Images
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An Object-Based Method for Contrail Detection in AVHRR Satellite Images

机译:基于对象的AVHRR卫星图像中轨迹检测方法

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摘要

Contrails are important in understanding how aviation potentially affects climate change. The commonly used methods for detecting contrails usually only consider the spectral information of the image. This study focuses on introducing an object-based method for detecting contrails in AVHRR images. An object-based method utilizes not only the spectral characteristics, but also spatial information to aid in the detection. The results of the experimental study demonstrate that it is practical to use an object-based classification method for contrail detection. Compared with pixel-based classification methods, the accuracy of the results is improved using the object-based method.
机译:在理解航空业如何潜在影响气候变化方面,矛盾很重要。常用的检测轨迹变化的方法通常只考虑图像的光谱信息。这项研究的重点是介绍一种基于对象的方法来检测AVHRR图像中的凝结尾迹。基于对象的方法不仅利用光谱特征,而且利用空间信息来辅助检测。实验研究的结果表明,使用基于对象的分类方法进行轨迹转换检测是可行的。与基于像素的分类方法相比,使用基于对象的方法可以提高结果的准确性。

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  • 来源
    《GIScience & remote sensing》 |2012年第3期|p.412-427|共16页
  • 作者单位

    Department of Geography and Center for Environmental Sciences and Engineering,University of Connecticut, Storrs, Connecticut 06269;

    Department of Geography and Center for Environmental Sciences and Engineering,University of Connecticut, Storrs, Connecticut 06269;

    Department of Geography and Center for Environmental Sciences and Engineering,University of Connecticut, Storrs, Connecticut 06269;

    Department of Geography and Geology,University of Wisconsin-Whitewater, Whitewater, Wisconsin 53190;

    Department of Natural Resources and the Environment,University of Connecticut, Storrs, Connecticut 06269;

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