【摘要】：摘要： 海洋溢油污染不僅影響人類經(jīng)濟(jì)的發(fā)展,更影響到海洋生態(tài)環(huán)境,對(duì)海洋動(dòng)植物、沿海人民的生活帶來了巨大的威脅。及時(shí)、準(zhǔn)確的監(jiān)測(cè)海面溢油,對(duì)海洋生態(tài)環(huán)境保護(hù)以及人類經(jīng)濟(jì)的發(fā)展具有十分重要的意義。本文針對(duì)這一問題,立足于建立實(shí)時(shí)、無人監(jiān)督的海洋監(jiān)測(cè)系統(tǒng),選用了成本低、全天時(shí)、全天候的SAR圖像來進(jìn)行海面溢油信息的監(jiān)測(cè),通過對(duì)無人監(jiān)督海陸分割和暗區(qū)域(溢油)兩方面的研究,找到了快速準(zhǔn)確的方法,通過相應(yīng)的實(shí)驗(yàn)驗(yàn)證了其可行性,同時(shí)開發(fā)完成了一體化SAR圖像溢油檢測(cè)框架系統(tǒng)。 論文主要論述了以下內(nèi)容： 1.簡單介紹了SAR的基本原理及圖像特點(diǎn),介紹SAR圖像暗區(qū)域(溢油)的研究背景及意義,并分析了當(dāng)前國內(nèi)外的常用方法及存在的不足,同時(shí)介紹了本文的研究思路。 2.首先介紹常見的海陸方法及原理,同時(shí)針對(duì)實(shí)現(xiàn)無人監(jiān)督的海陸分割,基于C-V模型的水平集方法進(jìn)行了探討,并給出了改進(jìn)方案實(shí)現(xiàn)了針對(duì)于高分辨率SAR數(shù)據(jù)的應(yīng)用,同時(shí)將實(shí)驗(yàn)結(jié)果與原模型進(jìn)行比較,證明了該方案的可行性。 3.從溢油成像原理和成像條件進(jìn)行闡述,介紹了SAR圖像油膜的特征,并進(jìn)一步對(duì)海面暗區(qū)域(溢油)自動(dòng)分割方法進(jìn)行探討,利用開窗分類將單純的分割問題轉(zhuǎn)化為分類問題,同時(shí)通過快速的CFAR算法提取每一類中的暗區(qū)域,通過詳細(xì)的實(shí)驗(yàn)證明了方法的可行性。最后介紹了基于SAR圖像的一體化溢油檢測(cè)框架。 4.總結(jié)了當(dāng)前溢油檢測(cè)方法的優(yōu)缺點(diǎn),以及未來研究的方向。
[Abstract]:Abstract: Marine oil spill pollution not only affects the development of human economy, but also affects the marine ecological environment, and poses a great threat to marine animals and plants and the lives of coastal people. Timely and accurate monitoring of oil spill on the sea level is of great significance to the protection of marine ecological environment and the development of human economy. Aiming at this problem, based on the establishment of a real-time, unsupervised ocean monitoring system, this paper selects the low cost, all-weather, all-weather SAR images to monitor the oil spill information on the sea surface. Through the research of unsupervised sea and land segmentation and dark area (oil spill), a fast and accurate method is found, and the feasibility is verified by corresponding experiments. At the same time, an integrated SAR image oil spill detection framework system is developed. This paper mainly discusses the following contents: 1. This paper briefly introduces the basic principle and image characteristics of SAR, introduces the research background and significance of dark area (oil spill) in SAR image, analyzes the common methods and shortcomings at home and abroad, and introduces the research ideas of this paper. 2. Firstly, the common methods and principles of land and sea are introduced. At the same time, the level set method based on C-V model is discussed in order to realize the unsupervised land and sea segmentation, and the improved scheme is given to realize the application of high-resolution SAR data. At the same time, the experimental results are compared with the original model, and the feasibility of the scheme is proved. 3. This paper expounds the principle and condition of oil spill imaging, introduces the characteristics of oil film in SAR image, and further discusses the automatic segmentation method of sea surface dark area (oil spill), and transforms the simple segmentation problem into classification problem by using windowed classification. At the same time, a fast CFAR algorithm is used to extract the dark areas in each class, and the feasibility of the method is proved by detailed experiments. Finally, an integrated oil spill detection framework based on SAR image is introduced. 4. The advantages and disadvantages of current oil spill detection methods and the future research directions are summarized.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN957.52

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 黃曉霞,朱振海;海洋表面油膜的合成孔徑雷達(dá)圖像檢測(cè)[J];地質(zhì)科技情報(bào);1997年S1期

2 姜慧研;馮銳杰;;基于改進(jìn)的變分水平集和區(qū)域生長的圖像分割方法的研究[J];電子學(xué)報(bào);2012年08期

3 徐青;鄭汲;程永存;紀(jì)棋嚴(yán);;應(yīng)用紋理分析識(shí)別SAR海上溢油圖像[J];河海大學(xué)學(xué)報(bào)(自然科學(xué)版);2011年05期

4 徐玲凌;肖進(jìn)勝;易本順;婁利軍;;改進(jìn)的C-V水平集模型圖像分割算法[J];計(jì)算機(jī)工程;2009年10期

5 官晟,吳東,張博,劉智深;海洋激光熒光雷達(dá)海面油膜種類鑒別研究[J];青島海洋大學(xué)學(xué)報(bào)(自然科學(xué)版);2002年02期

6 石立堅(jiān);趙朝方;劉朋;;基于紋理分析和人工神經(jīng)網(wǎng)絡(luò)的SAR圖像中海面溢油識(shí)別方法[J];中國海洋大學(xué)學(xué)報(bào)(自然科學(xué)版);2009年06期

7 李建明;海洋石油污染的危害與凈化[J];生物學(xué)教學(xué);2002年07期

8 劉書君;冉強(qiáng)軍;袁運(yùn)能;毛士藝;;基于單通道合成孔徑雷達(dá)子圖像的動(dòng)目標(biāo)檢測(cè)性能分析[J];系統(tǒng)工程與電子技術(shù);2010年12期

9 趙冬至,叢丕福;海面溢油的可見光波段地物光譜特征研究[J];遙感技術(shù)與應(yīng)用;2000年03期

10 原君娜;邵蕓;田維;王世昂;;利用SAR圖像識(shí)別海面油膜的方法介紹[J];遙感技術(shù)與應(yīng)用;2010年01期

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