机载干涉SAR数据的运动补偿与地理编码研究

Eugenio Sansosti, R. Scheiber, G. Fornaro, M. Tesauro, R. Lanari, A. Moreira
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引用次数: 4

摘要

研究了运动补偿算法在干涉SAR数据处理中的应用。分析了地球平假设引起的误差对运动补偿数据的影响。本文还讨论了在SAR处理和地理编码期间和之后通过调整来解决这一问题的可能方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the motion compensation and geocoding of airborne interferometric SAR data
The paper is concerned about the application of motion compensation algorithms in interferometric SAR data processing. An analysis of the effects of the error induced by the flat Earth assumption in motion compensating the data is included. Possible solutions to this problem via adjustments during and after the SAR processing and the geocoding are also discussed.
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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.
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