利用DEM进行SAR图像模拟及地形辐射校正

发布时间：2018-06-30 03:01

本文选题：PALSAR + SAR模拟　；参考：《测绘通报》2017年07期

【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。
[Abstract]:It is difficult to obtain ground control points in mountainous area. Based on the analysis of SAR imaging geometry and ALOS PALSAR satellite orbit parameters, this paper uses Rd location model to calculate the location of radar imaging points at each grid of Dem, simulates SAR images, and extracts local incident angles. The projection angle and regularization factor, etc. The simulated SAR image matches the texture of the real SAR image, which is advantageous to the automatic registration of the control points. On this basis, the ALOS PALSAR is coded, and the terrain radiation correction model based on regularization factor and incident angle is constructed to eliminate the distortion caused by area effect and terrain fluctuation. From the analysis of the results, the difference between light and dark of the corrected image is obviously reduced. This is of practical significance to the research of radar quantitative inversion.
【作者单位】：中国林业科学研究院资源信息研究所;成都理工大学地球科学学院;地学空间信息技术国土资源部重点实验室;
【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)
【分类号】：P237

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