Comparison of path-following and least-squares phase unwrapping algorithms

遥感信息 Pub Date : 1997-08-03 DOI:10.1109/IGARSS.1997.615283

M. D. Pritt

引用次数: 18

Abstract

This paper presents a comparative analysis of eight phase unwrapping algorithms for SAR interferometry that, in the opinion of the author, encompass the current "state of the art" in phase unwrapping. Four of the algorithms are path-following algorithms, and four are least-squares algorithms. The algorithms are described, and their characteristics, such as execution time and memory requirements, are summarized. The results of the algorithms on eight phase unwrapping problems are then presented, and recommendations for how to use the algorithms in practice are given.

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路径跟踪与最小二乘相位展开算法的比较

本文对SAR干涉测量的八种相位展开算法进行了比较分析，作者认为这些算法包含了当前相位展开中的“最新技术”。其中四种算法是路径跟踪算法，四种是最小二乘算法。对这些算法进行了描述，并总结了它们的特点，如执行时间和内存需求。然后给出了算法在八阶段展开问题上的结果，并给出了在实践中如何使用这些算法的建议。

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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来源期刊

遥感信息

自引率

0.00%

发文量

3984

期刊介绍： Remote Sensing Information is a bimonthly academic journal supervised by the Ministry of Natural Resources of the People's Republic of China and sponsored by China Academy of Surveying and Mapping Science. Since its inception in 1986, it has been one of the authoritative journals in the field of remote sensing in China.In 2014, it was recognised as one of the first batch of national academic journals, and was awarded the honours of Core Journals of China Science Citation Database, Chinese Core Journals, and Core Journals of Science and Technology of China. The journal won the Excellence Award (First Prize) of the National Excellent Surveying, Mapping and Geographic Information Journal Award in 2011 and 2017 respectively. Remote Sensing Information is dedicated to reporting the cutting-edge theoretical and applied results of remote sensing science and technology, promoting academic exchanges at home and abroad, and promoting the application of remote sensing science and technology and industrial development. The journal adheres to the principles of openness, fairness and professionalism, abides by the anonymous review system of peer experts, and has good social credibility. The main columns include Review, Theoretical Research, Innovative Applications, Special Reports, International News, Famous Experts' Forum, Geographic National Condition Monitoring, etc., covering various fields such as surveying and mapping, forestry, agriculture, geology, meteorology, ocean, environment, national defence and so on. Remote Sensing Information aims to provide a high-level academic exchange platform for experts and scholars in the field of remote sensing at home and abroad, to enhance academic influence, and to play a role in promoting and supporting the protection of natural resources, green technology innovation, and the construction of ecological civilisation.