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URBAN FOOTPRINT FROM VHR SAR IMAGES: TOWARD A FULLY OPERATIONAL PROCEDURE

机译:来自VHR SAR的城市足迹图片:迈向完全运行的程序

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Very-High-Resolution Synthetic Aperture Radar (VHR-SAR) images are of particular interest to characterize and monitor urban areas at a global scale. While automatic urban footprint extraction from SAR images can be theoretically performed at very high spatial and temporal resolutions, in practice it requires a huge amount of processing time and memory resources for a global coverage. The paper presents a fast procedure for 1m-resolution spotlight mode scene analysis which shows limited memory requirements and robustness to one-look speckle disturbance. The proposed method adopts a multiscale approach, with a radiometrically scalable scheme, and exploits theoretic electromagnetic scattering models of buildings. Experimental results with objective assessment on spotlight Cosmo-SkyMED images will be presented and validated on reference urban classes provided by the Copernicus Urban Atlas 2012.
机译:非常高分辨率的合成孔径雷达(VHR-SAR)图像特别令人兴趣,以全球规模表征和监控城市地区。虽然可以在非常高的空间和时间分辨率下从SAR图像中提取来自SAR图像的自动城市足迹,但实际上它需要大量的处理时间和内存资源进行全局覆盖。本文介绍了1M分辨率聚光灯模式场景分析的快速程序,显示了内存需求有限和一个外观散斑扰动的鲁棒性。所提出的方法采用多尺度方法,具有放射体可扩展的方案,并利用建筑物的理论电磁散射模型。对聚光灯Cosmo-Skymed图像的客观评估的实验结果将在Copernicus Urban Atlas 2012提供的参考城市课程上颁发和验证。

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