合成孔徑雷達海面溢油探測研究進展

李煜; 陳杰; 張淵智

doi:10.11999/JEIT180468

合成孔徑雷達海面溢油探測研究進展

doi: 10.11999/JEIT180468

李煜¹,
陳杰²,
張淵智^3, ,

1.
北京工業(yè)大學信息學部 ??北京 ??100124
2.
北京航空航天大學電子信息工程學院 ??北京 ??100037
3.
中國科學院國家天文臺月球與深空探測重點實驗室 ??北京 ??100101

基金項目: 國家重點研發(fā)計劃(2016YFB0501501)，國家自然科學基金(41706201)

詳細信息

作者簡介:
李煜：男，1986年生，講師，研究方向為遙感圖像處理和模式識別

陳杰：男，1973年生，教授，研究方向為合成孔徑雷達系統(tǒng)建模和信號處理

張淵智：男，1964年生，研究員，研究方向為微波和光學遙感

通訊作者:
張淵智　zhangyz@nao.cas.cn

中圖分類號: TN957.52
計量
- 文章訪問數(shù): 2753
- HTML全文瀏覽量: 1096
- PDF下載量: 146
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2018-05-06
- 修回日期: 2018-11-15
- 網(wǎng)絡(luò)出版日期: 2018-12-17
- 刊出日期: 2019-03-01

Progress in Research on Marine Oil Spills Detection Using Synthetic Aperture Radar

Yu LI¹,
Jie CHEN²,
Yuanzhi ZHANG^{3
, ,}

1.
Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
2.
School of Electronics and Information Engineering, Beihang University, Beijing 100037, China
3.
National Astronomical Observatories, Key Laboratory of Lunar Science and Deep-Exploration, Chinese Academy of Sciences, Beijing 100101, China

Funds: The National key Research and Development Project of China (2016YFB0501501), The National Natural Science Foundation of China (41706201)

摘要

摘要:
海洋溢油污染不僅嚴重威脅海洋生態(tài)安全、破壞海岸帶環(huán)境，而且直接和間接地影響著廣大人民群眾的生活和健康以及區(qū)域社會經(jīng)濟的發(fā)展。合成孔徑雷達因其具有全天候和高靈敏度的觀測能力而成為海面油膜探測的主要手段之一。該文從SAR海面油膜探測的基本原理出發(fā)，介紹了單極化、全極化和緊縮極化SAR海面油膜探測技術(shù)的國內(nèi)外最新研究進展，對該技術(shù)手段在實際應(yīng)用中遇到的主要困難和挑戰(zhàn)做了深入分析，最后總結(jié)展望了該技術(shù)未來發(fā)展的廣闊前景。
- 合成孔徑雷達 /
- 極化 /
- 溢油 /
- 分類
Abstract:
Marine oil spill pollution is a serious threat to the marine ecological environment, human life and economic development. Synthetic Aperture Radar (SAR) becomes one of the main technologies for marine oil film detection because of its all-weather and high sensitivity observation capability. This article first introduces the research progress of oil film detection technology on single polarimetric, fully polarimetric and compact polarimetric SAR technologies, based on the basic principle of SAR oil slick detection. Then the main difficulties and challenges encountered in the current research are analyzed. Finally, the broad prospects for the future development of this technology are forecasted.
- Synthetic Aperture Radar (SAR) /
- Polarimetry /
- Oil spill /
- Classification

HTML全文

圖 1 墨西哥灣“深水地平線”溢油事故^[3]

下載: 全尺寸圖片幻燈片

圖 2 SAR成像幾何示意圖

下載: 全尺寸圖片幻燈片

圖 4 包含溢油區(qū)域的汕尾附近海域SAR后向散射VV通道圖像(圖像來自歐空局)

下載: 全尺寸圖片幻燈片

圖 3 雷達信號海面散射示意圖

下載: 全尺寸圖片幻燈片

表 1 常用單極化SAR油膜特征

強度特征	形態(tài)學特征	紋理特征*	環(huán)境特征
油膜后向散射強度(${\mu _{{\rm{obj}}}}$)	面積(A)	同質(zhì)性(Homogeneity)	距海岸距離
油膜后向散射方差(${\sigma _{{\rm{obj}}}}$)	周長(P )	對比度(Contrast)	距最近黑斑距離
油膜周圍后向散射(${\mu _{{\rm{sce}}}}$)	復(fù)雜度(C )	差異度(Dissimilarity)	周圍黑斑數(shù)量
灰度比(${\mu _{{\rm{obj}}}}/{\mu _{{\rm{sce}}}}$)	不對稱性	熵(Entropy)	周圍船只數(shù)量
方差比(${\sigma _{{\rm{obj}}}}/{\sigma _{{\rm{sce}}}}$)	歐拉數(shù)	均值(Mean)	…
ISRI(${\mu _{{\rm{obj}}}}/{\sigma _{{\rm{obj}}}}$)	形狀指數(shù)	方差(Variance)
ISRO(${\mu _{{\rm{obj}}}}/{\sigma _{{\rm{sce}}}}$)	軸線長度	相關(guān)性(Correlation)
油膜最小灰度值(MSV)	緊致度
最大對比度(${\sigma _{{\rm{sce}}}}$-MSV)
邊緣梯度
注：紋理特征通過灰度共生矩陣(Gray-Level Co-occurrence Matrix, GLCM)得到

下載: 導(dǎo)出CSV

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