测深雷达成像模型的比对与验证

遥感信息 Pub Date : 1997-08-03 DOI:10.1109/IGARSS.1997.606435

H. Greidanus, C. Calkoen, I. Hennings, R. Romeiser, J. Vogelzang, G. Wensink

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引用次数: 6

摘要

暗礁上的多频率机载SAR数据具有非常大的相关表面电流变化，使用各种模型和参数化将其与模型计算进行比较。结论是，所有模型仍然低估了测量的对比，由于散斑和非水深特征，模型中的详细差异无法验证，并且l波段比C或x波段更适合水深应用。

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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Intercomparison and validation of bathymetry radar imaging models

Multi-frequency airborne SAR data over a submerged reef, with very large associated surface current variations, are compared with model calculations, using a wide variety in models and parametrizations. It is concluded that all models still underestimate the measured contrasts, that detailed differences in models cannot be validated due to speckle and non-bathymetric features, and that L-band is more suited for bathymetry applications than C- or X-band.

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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.