TOPS model image registration study in topographic undulating areas

Wenting Liu, L. Han, Jie Yu
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Abstract

The characteristics of sentinel data using terrain observation by progressive scans (TOPS) determine that its registration process is more complex and requires higher accuracy, and the synthetic aperture radar (SAR) images obtained from areas with large terrain undulations have obvious shadows and overlay masks. In this paper, we investigate the difficult problem of SAR image registration in TOPS imaging mode in areas with large terrain undulations and design a multi-stage registration method based on geometric registration, incoherent cross correlation (ICC) method, and enhanced spectral diversity (ESD) to complete the registration of sentinel image pairs and compare the accuracy of the traditional cross-correlation method with that of this paper. The experiments prove that the method described in this paper has the advantage that the registration accuracy does not depend on the image coherence, and it can still maintain a high accuracy even in areas with large topographic relief.
地形起伏区TOPS模型图像配准研究
逐级扫描地形观测(TOPS)哨兵数据的特点决定了其配准过程较为复杂,精度要求较高,地形起伏较大区域的合成孔径雷达(SAR)图像存在明显的阴影和叠加掩模。本文针对地形起伏较大地区TOPS成像模式下SAR图像配准的难点问题,设计了一种基于几何配准、非相干互相关(ICC)和增强光谱分集(ESD)的多阶段配准方法,完成了前哨图像对的配准,并与传统互相关方法的配准精度进行了比较。实验证明,本文方法的优点是配准精度不依赖于图像的相干性,即使在地形起伏较大的区域也能保持较高的配准精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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