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Opposite-side radargrammetry of Magellan synthetic aperture radar on Venus

机译:金星上的麦哲伦合成孔径雷达的对侧雷达测量

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In the early 1990s, synthetic aperture radar onboard Magellan spacecraft has imaged 54% of the Venusian surface in the opposite-side stereo configuration while only 21% in the same-side. Much of the data for the opposite-side radargrammetry (OSR) on Venus were underutilized due to higher topographic distortion than the same-side radargrammetry (SSR). In this paper, the performance and limitations of the OSR are demon-strated based on an example over Lullin impact crater, Venus. The initial stereo match points are classified into three categories; GOOD, BAD, and TOPO, and different methods are suggested for each category to improve the quality of digital elevation model. Large areas of gentle slope on Venusian volcanic plain can be suc-cessfully matched using conventional stereo-matching algorithm. Image contrast of featureless surface can be improved by enlarg-ing the master image patch at a cost of spatial resolution, while high to moderate relief regions need further treatments such as radarclinometry. Utilization of OSR is expected to provide addi-tional DEM dataset of Venus and to give flexibility for the design of future planetary SAR missions.
机译:在1990年代初期,麦哲伦太空船上的合成孔径雷达在对侧立体声配置下对金星表面的成像率为54%,而在对侧则只有21%。金星对面雷达测绘(OSR)的许多数据未得到充分利用,原因是地形变形高于同侧雷达测绘(SSR)。本文以Lullin撞击坑金星为例,说明了OSR的性能和局限性。初始立体声匹配点分为三类:对于每种类别,建议使用GOOD,BAD和TOPO以及不同的方法来提高数字高程模型的质量。使用常规的立体匹配算法可以成功地匹配维纳斯火山平原上的大面积缓坡。无特征表面的图像对比度可以通过以空间分辨率为代价放大主图像块来改善,而高到中度的凹凸区域需要进一步的处理,例如雷达测斜仪。预计OSR的利用将提供金星的其他DEM数据集,并为设计未来的行星SAR任务提供灵活性。

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