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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Urban Area Extraction Using X-Band Fully Polarimetric SAR Imagery
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Urban Area Extraction Using X-Band Fully Polarimetric SAR Imagery

机译：使用X波段全极化SAR影像进行市区提取

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摘要

Here, we present a method for extracting urban areas from X-band fully polarimetric synthetic aperture radar (SAR) data by reducing the effects of polarization orientation angle (POA). The proposed classifier performs two classifications utilizing characteristics of X-band scattering in land cover. One classification uses total power of scattering and volume scattering derived by using four-component decomposition methods with correction for the POA effect. The other classification uses polarimetric coherence between $S_{ HH}$ and $S_{ VV}$. These two results are intersected and final urban areas are extracted after postclassification processing. We applied the proposed method to airborne X-band fully polarimetric SAR data of the polarimetric and interferometric airborne synthetic aperture radar system, developed by the National Institute of Information and Communications Technology, Japan. Validation of the results for three Japanese urban areas shows that the proposed method provides an acceptable overall accuracy of approximately 80%–90% at a 100-m spatial scale. It is also shown that texture-based classifiers using single polarimetric data have accuracy limitations when applied to extracted urban areas where the POA of objects is not uniform.
机译：在这里，我们提出了一种通过减少极化取向角（POA）的影响从X波段全极化合成孔径雷达（SAR）数据中提取市区的方法。拟议的分类器利用土地覆盖中X波段散射的特征进行了两种分类。一种分类方法是使用四分量分解方法（对POA效应进行校正）得出的散射和体积散射总功率。另一种分类使用$ S_ {HH} $和$ S_ {VV} $之间的极化相干。将这两个结果相交，并在后分类处理之后提取最终的城市区域。我们将提出的方法应用于由日本国立信息与通信技术研究所开发的极化和干涉式机载合成孔径雷达系统的机载X波段全极化SAR数据。对日本三个城市地区的结果进行的验证表明，所提出的方法在100 m的空间范围内可提供大约80％–90％的可接受的总体精度。还显示，当将单极化数据用于基于纹理的分类器应用于对象的POA不均匀的提取市区时，其精度受到限制。

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