星载合成孔径雷达海洋应用技术
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作者邵伟增 袁新哲 李欢 陈鹏 郑罡 编著
出版社海洋出版社
ISBN9787521006506
出版时间2019-03
装帧平装
开本其他
定价298元
货号11837521
上书时间2024-09-09
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目录
第1 章 星载合成孔径雷达1.1 合成孔径雷达原理 ·············································································· 11.2 星载合成孔径雷达发展概况 ·································································· 31.2.1 国外SAR 发展与应用 ····································································· 31.2.2 我国民用SAR 的发展 ····································································· 7参考文献································································································· 9第2 章 海面风场反演技术2.1 概述 ······························································································112.1.1 结合CMOD4 和CMOD5 反演海表面风场研究背景 ······························112.1.2 利用改进的极化比模型XPR2 反演海面风速研究背景 ·························· 122.1.3 利用CMOD5N、PR 和C-SARMOD 模型以及两种修正方法进行风场反演研究背景 ······································································· 132.2 数据集 ··························································································· 142.2.1 结合CMOD4 和CMOD5 来反演海表面风场的数据集 ·························· 142.2.2 利用改进的极化比模型XPR2 反演海面风速的数据集 ·························· 152.2.3 利用CMOD5N、PR 和C-SARMOD 模型以及两种修正方法进行风场反演的数据集 ······································································· 182.3 反演技术 ························································································ 222.3.1 结合CMOD4 和CMOD5 来反演海表面风场 ······································ 222.3.2 利用改进的极化比模型XPR2 反演海面风速 ······································ 272.3.3 利用CMOD5N、PR 和C-SARMOD 模型以及两种修正方法进行风场反演 ··················································································· 302.4 验证与分析讨论 ··············································································· 32 2.4.1 结合CMOD4 和CMOD5 来反演海表面风场验证与分析讨论 ················· 322.4.2 利用改进的极化比模型XPR2 反演海面风速验证与分析讨论 ················· 322.4.3 利用CMOD5N、PR 和C-SARMOD 模型以及两种修正方法进行风场反演验证与分析讨论 ······························································ 352.5 本章小节 ························································································ 42参考文献······························································································· 45第3 章 海浪反演技术3.1 概述 ······························································································ 533.1.1 利用PFSM 算法反演X 波段SAR 图像中波浪参数研究背景 ·················· 533.1.2 基于C 波段VV 极化Sentinel-1 SAR 图像的海浪参数反演的半经验算法研究背景 ···································································· 543.1.3 从同极化X 波段SAR 图像中反演波浪的经验算法研究背景 ·················· 543.1.4 利用改进算法CSAR_WAVE2 进行同极化SAR 图像海浪参数反演 ·········· 563.2 数据集介绍 ····················································································· 573.2.1 利用PFSM 算法反演X 波段SAR 图像中波浪参数的数据集 ·················· 573.2.2 基于C 波段VV 极化Sentinel-1 SAR 图像的海浪参数反演的半经验算法的数据集 ···································································· 593.2.3 从同极化X 波段SAR 图像中反演波浪经验算法的数据集 ····················· 623.2.4 利用改进算法CSAR_WAVE2 进行同极化SAR 图像海浪参数反演的数据集 ······································································· 633.3 技术思路 ························································································ 663.3.1 利用PFSM 算法反演X 波段SAR 图像中波浪参数 ······························ 663.3.2 基于C 波段VV 极化Sentinel-1 SAR 图像的海浪参数反演的半经验算法 ················································································ 683.3.3 从同极化X 波段SAR 图像中反演波浪的经验算法 ······························ 743.3.4 利用改进算法CSAR_WAVE2 进行同极化SAR 图像上海浪参数反演 ······· 773.4 验证 ······························································································ 813.4.1 利用PFSM 算法反演X 波段SAR 图像中波浪参数的验证 ····················· 813.4.2 基于C 波段VV 极化Sentinel-1 SAR 图像的海浪参数反演的半经验算法的验证 ······································································· 843.4.3 从同极化X 波段SAR 图像中反演波浪的经验算法的验证 ····················· 863.4.4 利用改进算法CSAR_WAVE2 进行同极化SAR 图像海浪参数反演的验证 ·········································································· 913.5 结论 ······························································································ 933.5.1 利用PFSM 算法反演X 波段SAR 图像中波浪参数结论 ························ 933.5.2 基于C 波段VV 极化Sentinel-1 SAR 图像的海浪参数反演的半经验算法结论 ·········································································· 943.5.3 从同极化X 波段SAR 图像中反演波浪的经验算法结论 ························ 953.5.4 利用改进算法CSAR_WAVE2 进行同极化SAR 图像海浪参数反演结论 ···· 96参考文献······························································································· 97第4 章 海洋内波反演技术4.1 海洋内波SAR 成像机理 ··································································· 1044.2 海洋内波反演的方法 ········································································ 1044.2.1 基于EEMD 的SAR 海洋内波参数反演 ············································ 1044.2.2 序列SAR 图像内波参数反演的仿真修正方法 ···································· 1074.2.3 基于合成孔径雷达图像内波参数反演方法 ········································ 1104.2.4 基于压缩感知和EMD 的SAR 海洋内波探测方法 ······························ 1134.3 方法数据集 ···················································································· 1164.3.1 方法一的数据集 ········································································· 1164.3.2 方法二的数据集 ········································································· 1174.3.3 方法三的数据集 ········································································· 1184.3.4 方法四的数据集 ········································································· 1194.4 实验结果及分析 ·············································································· 1204.4.1 基于EEMD 的内波参数反演 ························································· 1204.4.2 基于仿真修正的序列SAR 图像内波参数反演方法 ······························ 1244.4.3 基于合成孔径雷达图像内波参数反演方法 ········································ 1274.4.4 基于压缩感知和EMD 的SAR 海洋内波探测方法 ······························ 1294.5 总结 ····························································································· 132参考文献······························································································ 134
精彩内容
合成孔径雷达（Synthetic Aperture Radar，SAR）作为一种空天对地观测的遥感数据获取技术，与可见光和红外成像载荷相比，具有全天时、全天候的工作效率，并具备在恶劣气象条件下能够穿透云层、雾霾、雨雪等获取地面高分辨率遥感图像信息的优点，其已成为世界上海洋观测乃至对地观测的重要技术手段之一。鉴于此，该书紧密围绕SAR的成像原理，依据作者已有的研究成果和对他人成果的提炼，开展SAR对海洋环境动力要素的反演以及海上环境安全保障监测辅助功能的研究和总结，并结合我国“十三五”规划海洋环境观测和海洋环境安全保障体系建设中一些重要的研究成果，针对海面风场反演技术、海浪反演技术、海洋内波反演技术、台风与台风浪反演技术、海洋内波反演技术、海底地形反演技术、海面溢油监测技术、海面舰船监测技术等分别开展了技术方法介绍、研究数据集描述以及代表性案例分析，对各项SAR反演和监测关键技术的算法和原理进行了深入探讨，详细阐述，使读者能够充分了解这些关键技术，包括我国在该领域目前已达到的水平和今后的发展方向，此举有益于发展我国的SAR海洋观测监测技术，从而完善我国“十四五”规划海洋环境观测和海洋环境安全保障体系。
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