| 北京一号数据检测渤海海洋锋 |
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| 引用本文： | 平博,苏奋振,杜云艳,苏伟光.北京一号数据检测渤海海洋锋[J].遥感学报,2014,18(3):686-695. |
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| 作者姓名： | 平博 苏奋振 杜云艳 苏伟光 |
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| 作者单位： | 武汉大学遥感信息工程学院, 湖北 武汉 430079;中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室, 北京 100101;中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室, 北京 100101;中国科学院海岸带环境过程重点实验室（烟台海岸带研究所）, 山东 烟台 264003 |
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| 基金项目： | 国家科技支撑项目（编号：2011BAH23B04） |
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| 摘 要： | 本文基于引力模型,对北京一号对地观测小卫星数据渤海区域进行海洋锋面检测。针对北京一号小卫星数据的特点,选择红波段作为实验波段,并选择渤海湾南岸水色锋和辽东湾东岸辐射沙脊两个实验区域。算法首先对数据进行线性拉伸,波段运算等预处理,突出锋面信息,其中,拉伸区间由图像直方图确定,接着应用引力模型对预处理后的数据进行锋面检测。实验结果表明,本文算法能够对两个实验区域的锋面进行检测,得到的锋面信息连续、突出,证明了算法的有效性;针对北京一号对地观测小卫星数据,本文算法相比于传统锋面检测算法,能够得到更加连续的锋面信息,并能较好抑制近岸泥沙对锋面检测的干扰。
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| 关 键 词： | 北京一号小卫星 引力模型 锋面提取 渤海 |
| 收稿时间： | 2013/8/14 0:00:00 |
| 修稿时间： | 2013/12/12 0:00:00 |
Bohai sea front detection using BJ-1 small satellite data |
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| PING Bo,SU Fenzhen,DU Yunyan and SU Weiguang.Bohai sea front detection using BJ-1 small satellite data[J].Journal of Remote Sensing,2014,18(3):686-695. |
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| Authors: | PING Bo SU Fenzhen DU Yunyan and SU Weiguang |
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| Institution: | School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;State Key Laboratory of Recources and Environmental Information system, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;State Key Laboratory of Recources and Environmental Information system, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;Key Laboratory of Coastal Zone Environmental Processes, Yantai Institute of Coastal Zone Research, CAS, Yantai 264003, China |
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| Abstract: | Fronts in the Bohai sea are detected based on BJ-1 small satellite data using a gravitation model.We select the red band as the experimental band due to the characters of small satellite data. In addition, the fronts south of the Bohai Bay and east of the Liaodong Bay are chosen as experimental areas because they are both eligible for front detection. In the experiments, a linear stretch and band computation are first applied to data in order to protrude front information. The stretch intervals are set according to histograms. Then, utilizing a gravitation model, the fronts can be extracted from preprocessed data,and the results show that fronts can be successfully extracted from BJ-1 small satellite data usingthe gravitation model. The detected fronts are continuous and obvious. Compared with traditional front detection algorithms, the proposed algorithm can not only detect continuous and conspicuous fronts, but can also suppress noises. |
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| Keywords: | BJ-1 small satellite model of universal gravity front detection Bohai |
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