火星地形粗糙度谱及其对双基地雷达散射的影响

IF 4 3区 地球科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Geoscience and Remote Sensing Letters Pub Date : 2021-11-01 DOI:10.1109/lgrs.2020.3012427
Yu Liu, Ying Yang, Kun Shan Chen
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引用次数: 2

摘要

很少有研究预测火星粗糙表面的完全双基地散射,尽管已经进行了一些双基地雷达观测,例如在火星快车任务中。为了更好地理解双基地雷达观测中雷达信号与行星表面的相互作用,基于二维功率谱密度(2D-PSD)特征的火星地形尺度粗糙度的全球变化及其对地质单元的尺度依赖性,对其进行了研究。分析表明,火星2D-PSD强烈依赖于地质单元,它介于高斯函数和指数函数之间,幂指数为1.9。以二维psd为输入,采用先进的积分方程模型(AIEM)计算双稳态散射系数。结果表明,在解释双基地雷达散射响应时,应考虑比表面粗糙度谱和介电非均匀性。
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Martian Topographic Roughness Spectra and Its Influence on Bistatic Radar Scattering
There are few studies on predicting fully bistatic scattering from the rough surface of Mars, though some bistatic radar observations have been made, such as in the MARS EXPRESS mission. To better understand the interaction of radar signals with a planetary surface in bistatic radar observations, the topographic-scale roughness of Mars, characterized by a two-dimensional power spectrum density (2D-PSD), is examined in view of its global roughness variations and scale dependence on geological units. The analysis shows that the Martian 2D-PSD is strongly dependent on the geological units and that it lies between Gaussian and exponential functions, with a power index equal to 1.9. The bistatic scattering coefficients are calculated by an advanced integral equation model (AIEM) with the 2D-PSD as the input. It shows that the specific surface roughness spectrum and the dielectric inhomogeneity should be taken into account in interpreting the bistatic radar scattering response.
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来源期刊
IEEE Geoscience and Remote Sensing Letters
IEEE Geoscience and Remote Sensing Letters 工程技术-地球化学与地球物理
CiteScore
7.60
自引率
12.50%
发文量
1113
审稿时长
3.4 months
期刊介绍: IEEE Geoscience and Remote Sensing Letters (GRSL) is a monthly publication for short papers (maximum length 5 pages) addressing new ideas and formative concepts in remote sensing as well as important new and timely results and concepts. Papers should relate to the theory, concepts and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space, and the processing, interpretation, and dissemination of this information. The technical content of papers must be both new and significant. Experimental data must be complete and include sufficient description of experimental apparatus, methods, and relevant experimental conditions. GRSL encourages the incorporation of "extended objects" or "multimedia" such as animations to enhance the shorter papers.
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