航摄影像密集匹配的研究进展与展望

doi:10.11947/j.AGCS.2019.20190453

摘要/Abstract

摘要： 给出了航摄影像密集匹配的总体流程，依据是否显式使用光滑假设将密集匹配方法分为局部最优密集匹配和全局最优密集匹配两类，深入探讨了两种方法的关键技术，指出了从理论、技术、普适性和实用性方面值得关注的问题，期望能对相关研究有所裨益。

关键词: 航摄影像, 密集影像匹配, 局部最优匹配, 全局最优匹配, 光流场法, 深度学习方法

Abstract: The general workflow for dense matching of aerial images is given in this paper. Dense matching is divided into two categories, namely, those that utilize local matching algorithms and global matching algorithms, respectively. The key technologies of the two methods are analyzed in details. Concerns in theory, technology, universality and practicability are proposed. We hope it will be helpful to the related research on dense matching.

Key words: aerial image, dense image matching, local matching algorithm, global matching algorithm, optical flow field-based method, deep learning-based method

中图分类号:

P237

袁修孝, 袁巍, 许殊, 纪艳华. 航摄影像密集匹配的研究进展与展望[J]. 测绘学报, 2019, 48(12): 1542-1550.

YUAN Xiuxiao, YUAN Wei, XU Shu, JI Yanhua. Research developments and prospects on dense image matching in photogrammetry[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(12): 1542-1550.

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