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作 者:薛东剑[1,2,3] 李增元[1] 郑洁[2,3] 李成绕 李婉秋[2,3]
机构地区:[1]中国林业科学研究院资源信息研究所,北京100091 [2]成都理工大学地球科学学院,四川成都610059 [3]地学空间信息技术国土资源部重点实验室,四川成都610059
出 处:《测绘通报》2017年第7期14-17,共4页Bulletin of Surveying and Mapping
基 金:四川省教育厅重点项目(16ZA0100);国家973计划(2013CB733404);国土资源部地学空间信息技术重点实验室开放基金(KLGSIT2013-06)
摘 要:在山区获取地面控制点比较困难,运用模拟SAR进行配准、校正,具有较大的优势。本文在分析SAR成像几何结构及ALOS PALSAR卫星轨道参数特征的基础上,运用RD定位模型对DEM的每个网格点进行雷达成像点的位置计算,模拟SAR图像,并提取当地入射角、投影角及规则化因子等;模拟出的SAR图像与真实SAR图像纹理吻合,有利于控制点的自动配准。在此基础上对ALOS PALSAR进行编码,构建基于规则化因子及入射角的地形辐射校正模型,消除面积效应及地形起伏造成的畸变问题,从结果中分析,校正后的图像明暗差异明显减少,这对雷达定量反演研究具有一定的现实意义。The simulated SAR image is beneficial to the automatic registration of the control points and image correction,especially in the mountains, where it is very difficult to get the ground control point. Based on the analysis of SAR imaging geometry and characteristics of ALOS PALSAR satellite orbit parameters, the range doppler (RD)geo-location model is used to calculate the position of the radar imaging point for each grid point of the DEM. The SAR image is simulated, the local incidence angle, projection angle,regularization factor are extracted. The simulated SAR image coincides with the real SAR image texture, which is beneficial to the automatic registration of the control points. And the terrain radiation correction model based on the regularization factor and angle of incidence is constructed to eliminate the distortion caused by the area effect and terrain undulation. From the analysis results, the difference of the brightness and darkness of the image after correction is obviously reduced. It has certain practical significance to radar quantitative inversion research.
关 键 词:PALSAR SAR模拟 数字高程 地形辐射校正
分 类 号:P23[天文地球—摄影测量与遥感]
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