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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
收稿日期:2012-09-21,
修回日期:2012-10-30,
网络出版日期:2012-10-19,
纸质出版日期:2013-10-15
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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.
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。
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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