遥感图像配准研究问题

R. Eastman, J. L. Moigne, N. Netanyahu
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引用次数: 4

摘要

图像配准是遥感数据处理的重要组成部分,具有广泛的应用和解决方案。尽管进行了大量的研究,但该领域尚未为大多数应用确定一个明确的解决方案,许多问题仍未解决。本文通过调查运营卫星团队的经验、地球科学的特定应用需求以及我们在评估图像配准算法方面的实验(重点是亚像素精度算法的比较)来研究选定的研究问题。我们得出结论,遥感应用对图像配准算法提出了特殊要求,以考虑几何变换和图像内容的领域特定知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research issues in image registration for remote sensing
Image registration is an important element in data processing for remote sensing with many applications and a wide range of solutions. Despite considerable investigation the field has not settled on a definitive solution for most applications and a number of questions remain open. This article looks at selected research issues by surveying the experience of operational satellite teams, application-specific requirements for Earth science, and our experiments in the evaluation of image registration algorithms with emphasis on the comparison of algorithms for subpixel accuracy. We conclude that remote sensing applications put particular demands on image registration algorithms to take into account domain-specific knowledge of geometric transformations and image content.
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