偏振滤波的原理

遥感信息 Pub Date : 1997-08-03 DOI:10.1109/IGARSS.1997.615336

S. Quegan, J. Schou

引用次数: 4

摘要

滤波既可以用来重建偏振图像中的信息承载参数，也可以用来产生减少“散斑”的强度图像。通过产品模型分析这两种方法，使用无模型和特定模型的纹理，并描述了性能标准。

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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The principles of polarimetric filtering

Filtering can be used either to reconstruct the information bearing parameters in polarimetric images or to produce intensity images with reduced 'speckle'. These two approaches are analysed through the product model, using both model-free and model-specific texture, and performance criteria described.

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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.