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[转载]【新书推荐】【2019.09】溢油合成孔径雷达成像机理

已有 518 次阅读 2019-4-20 19:33 |系统分类:科研笔记|文章来源:转载

【2019.09】溢油合成孔径雷达成像机理Synthetic Aperture Radar Imaging Mechanism for Oil Spills,共300页。



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对于今天的工程师来说,很少有关于漏油污染的参考资料,更不用说解释理解漏油雷达成像的作用了。

For today’s engineers, there are few collective references regarding oil spill pollution and even fewer that explain the role of understanding radar imaging of oil spills. 


针对溢油合成孔径雷达成像机制提供了了解相关最新技术所需的关键工具,尤其是作为了解海洋污染领域分析和应用的主要来源的微波雷达。

Synthetic Aperture Radar Imaging Mechanism for Oil Spills delivers the critical tool needed to understand the latest technology in radar imaging of oil spills, particularly microwave radar as a main source to understand the analysis and application in the field of marine pollution. 


为了填补现代物理量子理论与溢油雷达成像应用之间的空白,本文对合成孔径雷达(SAR)的潜力进行了详细技术分析,并对提取必要附加信息(如位置、尺寸、周长和化学细节)的关键方法进行了介绍。

Filling the gap between modern physics quantum theory and applications of radar imaging of oil spills, this reference is packed with technical details associated to the potentiality of synthetic aperture radar (SAR) and key methods to be used to extract the value-added information necessary such as location, size, perimeter, and chemical details of the oil slick from SAR measurements. 


合成孔径雷达成像技术是利用雷达图像探寻溢油轨迹运动的一种有效手段,它为当今的石油和海洋污染工程师提供了一种新的技术和应用途径。

Rounding out with practical simulation trajectory movements of oil spills using radar images, Synthetic Aperture Radar Imaging Mechanism for Oil Spills  brings an effective new source of technology and applications for today’s oil and marine pollution engineers.


溢油监测技术理论与应用的桥梁

Bridge between theory and application of the techniques involving oil spill monitoring


理解一种新的四维自动检测方法

Understand a new approach of four-dimensional automatic detection


基于智能学习机算法量子、多目标等检测新技术的图像处理研究进展

Advance knowledge on image processing based on intelligent learning machine algorithms and new techniques for detection such as quantum and multi-objective algorithms


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