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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >Automatic Generation of Standard Deviation Attribute Profiles for Spectral–Spatial Classification of Remote Sensing Data
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Automatic Generation of Standard Deviation Attribute Profiles for Spectral–Spatial Classification of Remote Sensing Data

机译:自动生成用于遥感数据的光谱空间分类的标准偏差属性配置文件

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摘要

Extended attribute profiles, which are based on attribute filters, have recently been presented as efficient tools for spectral-spatial classification of remote sensing images. However, construction of these profiles usually requires manual selection of parameters for the corresponding attribute filters. In this letter, we present a technique to automatically build the extended attribute profiles with the standard deviation attribute based on the statistics of the samples belonging to the classes of interest. The methodology is tested on two widely used hyperspectral images and the results are found to be highly accurate.
机译:基于属性过滤器的扩展属性配置文件最近已作为有效工具用于遥感图像的光谱空间分类。但是,这些配置文件的构造通常需要手动选择相应属性过滤器的参数。在这封信中,我们提出了一种技术,该技术可以基于属于感兴趣类别的样本的统计信息,自动构建具有标准偏差属性的扩展属性配置文件。该方法已在两个广泛使用的高光谱图像上进行了测试,结果非常准确。

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