红外热像仪观测海温图像的线噪声提取

遥感信息 Pub Date : 1997-08-03 DOI:10.1109/IGARSS.1997.615870

S. Tamba, R. Yokoyama

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引用次数: 3

摘要

热红外摄像机提供了观测海温分布精细结构的相关数据。图像受到各种噪声的干扰。作者开发了两种算法来校正由扫描机制引起的条形噪声和由探测灵敏度的空间非均匀性引起的逆阴影型噪声。第一种算法基于二维傅里叶变换，第二种算法基于空间加权函数。通过对MUBEX扫描模式图像的应用，验证了算法的有效性。

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Line noise extraction of thermal infrared camera image in observing sea skin temperature

A thermal infrared camera provides relevant data to observe fine structure of sea skin temperature distribution. The image is exposed to various noises. The authors have developed two algorithms to correct a strip-type noise caused by the scanning mechanism and an inverse shading-type noise caused by spatial inhomogeneity of detecting sensitivity. The first algorithm is based on the two dimensional Fourier transform, and the second one was based on a spatial weighting function. By applying to scanning mode images of MUBEX the authors could confirm the effectiveness of the algorithms.

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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.