| 基于阈值区间的海洋锋面提取模型 |
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| 引用本文： | PING Bo,SU Fenzhen,MENG Yunshan,FANG Shenghui,DU Yunyan. 基于阈值区间的海洋锋面提取模型[J]. 海洋学报(英文版), 2014, 33(7): 65-71. DOI: 10.1007/s13131-014-0502-x |
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| 作者姓名： | PING Bo SU Fenzhen MENG Yunshan FANG Shenghui DU Yunyan |
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| 作者单位： | School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;Collaborative Innovation Center of South China Sea Studies, Nanjing 210093, China;Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;Collaborative Innovation Center of South China Sea Studies, Nanjing 210093, China;Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China |
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| 基金项目： | The National Key Technology R&D Program of China under contract No. 2011BAH23B04;the National High Technology Research and Development Program (863 Program) of China under contract No. 2007AA092202. |
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| 摘 要： | A model （Bayesian oceanic front detection, BOFD） of sea surface temperature （SST） front detection in satel- lite-derived SST images based on a threshold interval is presented, to be used in different applications such as climatic and environmental studies or fisheries. The model first computes the SST gradient by using a Sobel algorithm template. On the basis of the gradient value, the threshold interval is determined by a gradi- ent cumulative histogram. According to this threshold interval, front candidates can be acquired and prior probability and likelihood can be calculated. Whether or not the candidates are front points can be deter- mined by using the Bayesian decision theory. The model is evaluated on the Advanced Very High-Resolution Radiometer images of part of the Kuroshio front region. Results are compared with those obtained by using several SST front detection methods proposed in the literature. This comparison shows that the BOFD not only suppresses noise and small-scale fronts, but also retains continuous fronts.
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| 关 键 词： | 检测模型 时间间隔 海面温度 阈值 贝叶斯决策理论 甚高分辨率 SST 耳鼻喉科 |
| 收稿时间： | 2013-04-26 |
| 修稿时间： | 2013-11-11 |
A model of sea surface temperature front detection based on a threshold interval |
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| PING Bo,SU Fenzhen,MENG Yunshan,FANG Shenghui and DU Yunyan. A model of sea surface temperature front detection based on a threshold interval[J]. Acta Oceanologica Sinica, 2014, 33(7): 65-71. DOI: 10.1007/s13131-014-0502-x |
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| Authors: | PING Bo SU Fenzhen MENG Yunshan FANG Shenghui DU Yunyan |
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| Affiliation: | School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;Collaborative Innovation Center of South China Sea Studies, Nanjing 210093, China;Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;Collaborative Innovation Center of South China Sea Studies, Nanjing 210093, China;Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China |
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| Abstract: | A model (Bayesian oceanic front detection, BOFD) of sea surface temperature (SST) front detection in satellite-derived SST images based on a threshold interval is presented, to be used in different applications such as climatic and environmental studies or fisheries. The model first computes the SST gradient by using a Sobel algorithm template. On the basis of the gradient value, the threshold interval is determined by a gradient cumulative histogram. According to this threshold interval, front candidates can be acquired and prior probability and likelihood can be calculated. Whether or not the candidates are front points can be determined by using the Bayesian decision theory. The model is evaluated on the Advanced Very High-Resolution Radiometer images of part of the Kuroshio front region. Results are compared with those obtained by using several SST front detection methods proposed in the literature. This comparison shows that the BOFD not only suppresses noise and small-scale fronts, but also retains continuous fronts. |
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| Keywords: | sea surface temperature threshold setting Sobel algorithm edge detection front detection |
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