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Novel Techniques for Built-Up Area Extraction From Polarimetric SAR Images

机译:偏振SAR图像中建筑区域提取的新颖技术

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Built-up (BU) area extraction from remote sensing images is important to monitor and manage urbanization and industrialization. In this letter, we propose two BU area extraction techniques based on the analysis of fully polarimetric synthetic aperture radar (PolSAR) data. Both methods exploit the geodesic distance on the unit sphere in the space of Kennaugh matrices. The first method is based on the three dominant scattering types in the scene and compares them with scattering models; if any of them matches with BU type elementary scattering models, then the pixel is said to belong to a BU area. The second method is based on a novel PolSAR BU index (RBUI) composed by considering scattering mechanisms from BU structures. The two proposed techniques are validated on two different urban scenes, one acquired at C-band by RADARSAT-2 and other at L-band by ALOS-2 SAR sensors.
机译:遥感图像的建立(BU)区域提取对于监控和管理城市化和工业化是很重要的。在这封信中,我们提出了基于完全偏振合成孔径雷达(POLSAR)数据的分析的两个BU区域提取技术。两种方法都利用了肯邦矩阵空间的单位球上的测地距。第一种方法基于场景中的三种主导散射类型,并将其与散射模型进行比较;如果其中任何一个与Bu型基本散射模型匹配,则据说像素属于BU区域。第二种方法基于通过考虑来自BU结构的散射机制来组成的新型POLSAR BU指数(RBUI)。两种不同的城市场景验证了两个不同的城市场景,通过Alos-2 SAR传感器在L波段在L波段处获得的C波段。

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