基线(sea)
计算机科学
校准
合成孔径雷达
模棱两可
相(物质)
干涉合成孔径雷达
遥感
相位展开
人工智能
双基地雷达
计算机视觉
过程(计算)
雷达成像
雷达
干涉测量
地质学
电信
数学
海洋学
统计
化学
有机化学
物理
天文
程序设计语言
操作系统
作者
Jingwen Mou,Yu Wang,Jun Hong,Yachao Wang,Aichun Wang
标识
DOI:10.1109/igarss52108.2023.10281556
摘要
Baseline calibration is a fundamental procedure in generating DEM with InSAR data. However, conventional calibration algorithms heavily rely on the outcomes of phase unwrapping, which exhibit strong interdependencies with the baseline calibration results. The phase unwrapping process introduces considerations such as integer ambiguity, disparities between transmit and receive path delay, and potential errors stemming from data processing. To circumvent the inherent challenges associated with phase unwrapping errors, this paper proposes a novel calibration approach based on stereo-radargrammetry. The efficacy of the proposed method is affirmed through experimentation conducted on authentic LuTan-1 SAR images.
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