Automatic detection of mesoscale eddy for satellite remote sea surface height image

Chen Wei-zhen1; ZHANG Chun-hua2; Zhao Shi-wei2; Li Hong-lin2

doi:10.3788/OPE.20132110.2704

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Automatic detection of mesoscale eddy for satellite remote sea surface height image

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- Automatic detection of mesoscale eddy for satellite remote sea surface height image
- Optics and Precision Engineering Vol. 21, Issue 10, Pages: 2704-2712(2013)
- 作者机构：
  
  1. 中国海洋大学信息技术学院，山东青岛 266100
  2. 北京5111信箱，北京 100094
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20132110.2704
  CLC： TP751
- Received：21 September 2012，
  
  Revised：30 October 2012，
  
  Published Online：19 October 2012，
  
  Published：15 October 2013
- 稿件说明：
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陈维真张春华赵仕伟李红林. 面向卫星遥感海面高度图像的中尺度涡自动提取[J]. 光学精密工程, 2013,21(10): 2704-2712

Chen Wei-zhen ZHANG Chun-hua Zhao Shi-wei Li Hong-lin. Automatic detection of mesoscale eddy for satellite remote sea surface height image[J]. Editorial Office of Optics and Precision Engineering, 2013,21(10): 2704-2712
陈维真张春华赵仕伟李红林. 面向卫星遥感海面高度图像的中尺度涡自动提取[J]. 光学精密工程, 2013,21(10): 2704-2712 DOI： 10.3788/OPE.20132110.2704.

Chen Wei-zhen ZHANG Chun-hua Zhao Shi-wei Li Hong-lin. Automatic detection of mesoscale eddy for satellite remote sea surface height image[J]. Editorial Office of Optics and Precision Engineering, 2013,21(10): 2704-2712 DOI： 10.3788/OPE.20132110.2704.

摘要

分析了1992-2008年海面高度遥感图像，归纳出了自动检测中尺度涡的难点。以提高检测概率为主旨，提出了一套中国近海及其附近海域海面高度图像中尺度涡自动提取的方法。首先，对海面高度图像背景区域进行局部直方图Gauss拟合，根据拟合结果滤除海面背景区域，得到海面高度异常区域和残留的少部分海面背景区域。然后，针对中尺度涡的成像特点，综合利用涡旋的强度/尺度等判据，设计了一套中尺度涡提取算法，用于自适应地从海面高度异常区域和少部分海面背景区域提取不同强度/尺度的中尺度涡。对本文检测结果与文献中评述的中尺度涡进行了对比，结果表明，提出的算法对中尺度涡海面高度异常区域具有良好的检测性，有助于全面分析中国近海及其附近海域的中尺度涡的时空特性。

Abstract

The satellite remote Sea Surface Height(SSH) images from 1992 to 2008 were analyzed

and the difficulty of detecting mesoscale eddies automatically was summarized. To improve the detection probability

a extracting mesoscale eddy method from the SSH images was proposed for the China seas and their adjacent seas. Combined with the characteristics of satellite remote SSH images

the background statistical characteristics were estimated by Gauss fitting method. According to the Gauss fitting results

the sea clutter background area was eliminated

thus the sea height abnormal area and a few of remainder sea clutter background area were derived. Then

according to the imaging characteristics of mesoscale eddies

a sets of detect algorithms for mesoscale eddies were designed combined with the criteria of intension and scale to distill mesoscale eddies in China seas and their adjacent seas adaptively. Finally

The detected mesoscale eddies were compared to those commented in literatures

and results prove that the algorithms have high detecting quality. The proposed method provides basis for analyzing space-time characteristics for mesoscale eddies in China seas and their adjacent seas across-the-board.

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references

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