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A Subaperture SAR-Decomposition Algorithm to Delineate Urban Targets of Large Azimuth Angles and Vegetation

机译:一个子地图SAR分解算法,用于描绘大方位角和植被的城市目标

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A subaperture decomposition algorithm to distinguish the urban area with buildings of large azimuth angles from vegetation was studied. The study area was San Francisco, CA, USA. The PolSAR datasets of Chinese GAOFEN- 3, Canadian RADARSAT-2, and Japanese ALOS-2/PALSAR-2 were analyzed. Buildings of large azimuth angles in an urban area and vegetation or non-urban targets have been successfully delineated using the difference between two subaperture T33 images.
机译:研究了与植被的大方位角建筑物区别城市区域的亚峰分解算法。 研究区是美国旧金山,美国。 分析了中国高芬-3,加拿大雷达拉特-2和日本Alos-2 / Palsar-2的Polsar数据集。 在城市地区和植被或非城市目标中的大型方位角角度的建筑已经使用两个子孔节T33图像之间的差异成功划定。

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