| 绿潮Lansat影像滑动窗口自适应阈值全自动检测方法 |
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| 引用本文： | 王常颖,初佳兰,谭萌,邵峰晶,隋毅,李淑静.绿潮Lansat影像滑动窗口自适应阈值全自动检测方法[J].海洋学报(英文版),2017,36(11):106-114. |
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| 作者姓名： | 王常颖 初佳兰 谭萌 邵峰晶 隋毅 李淑静 |
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| 作者单位： | 青岛大学数据科学与软件工程学院, 青岛, 266071;青岛大数据技术与智慧城市研究院, 青岛, 266071;海洋赤潮灾害立体监测技术与应用国家海洋局重点实验室, 上海, 200080,海洋赤潮灾害立体监测技术与应用国家海洋局重点实验室, 上海, 200080;国家海洋环境监测中心, 大连, 116023,国家海洋局北海信息中心, 青岛, 266061,青岛大数据技术与智慧城市研究院, 青岛, 266071,青岛大数据技术与智慧城市研究院, 青岛, 266071,青岛大数据技术与智慧城市研究院, 青岛, 266071 |
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| 摘 要： | Since the atmospheric correction is a necessary preprocessing step of remote sensing image before detecting green tide, the introduced error directly affects the detection precision. Therefore, the detection method of green tide is presented from Landsat TM/ETM plus image which needs not the atmospheric correction. In order to achieve an automatic detection of green tide, a linear relationship(y =0.723 x+0.504) between detection threshold y and subtraction x(x=λ_(nir)–λ_(red)) is found from the comparing Landsat TM/ETM plus image with the field surveys.Using this relationship, green tide patches can be detected automatically from Landsat TM/ETM plus image.Considering there is brightness difference between different regions in an image, the image will be divided into a plurality of windows(sub-images) with a same size firstly, and then each window will be detected using an adaptive detection threshold determined according to the discovered linear relationship. It is found that big errors will appear in some windows, such as those covered by clouds seriously. To solve this problem, the moving step k of windows is proposed to be less than the window width n. Using this mechanism, most pixels will be detectedn/k]×n/k] times except the boundary pixels, then every pixel will be assigned the final class(green tide or sea water) according to majority rule voting strategy. It can be seen from the experiments, the proposed detection method using multi-windows and their adaptive thresholds can detect green tide from Landsat TM/ETM plus image automatically. Meanwhile, it avoids the reliance on the accurate atmospheric correction.
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| 关 键 词： | 自动检测 绿潮 自适应阈值 Landsat TM/ETM+影像 |
| 收稿时间： | 2016/5/23 0:00:00 |
| 修稿时间： | 2016/7/29 0:00:00 |
An automatic detection of green tide using multi-windows with their adaptive threshold from Landsat TM/ETM plus image |
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| WANG Changying,CHU Jialan,TAN Meng,SHAO Fengjing,SUI Yi and LI Shujing.An automatic detection of green tide using multi-windows with their adaptive threshold from Landsat TM/ETM plus image[J].Acta Oceanologica Sinica,2017,36(11):106-114. |
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| Authors: | WANG Changying CHU Jialan TAN Meng SHAO Fengjing SUI Yi and LI Shujing |
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| Institution: | School of Data Science and Software Engineering, Qingdao University, Qingdao 266071, China;Institute of Big Data Technology and Smart City of Qingdao, Qingdao 266071, China;Key laboratory of Marine Red Tide Disaster Three-dimensional Monitoring Technology and Application, East China Sea Branch, State Oceanic Administration, Shanghai 200080, China,Key laboratory of Marine Red Tide Disaster Three-dimensional Monitoring Technology and Application, East China Sea Branch, State Oceanic Administration, Shanghai 200080, China;National Marine Environmental Monitoring Center, State Oceanic Administration, Dalian 116023, China,North China Sea Data and Information Service Center, North China Sea Branch, State Oceanic Administration, Qingdao 266061, China,Institute of Big Data Technology and Smart City of Qingdao, Qingdao 266071, China,Institute of Big Data Technology and Smart City of Qingdao, Qingdao 266071, China and Institute of Big Data Technology and Smart City of Qingdao, Qingdao 266071, China |
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| Abstract: | Since the atmospheric correction is a necessary preprocessing step of remote sensing image before detecting green tide, the introduced error directly affects the detection precision. Therefore, the detection method of green tide is presented from Landsat TM/ETM plus image which needs not the atmospheric correction. In order to achieve an automatic detection of green tide, a linear relationship (y =0.723x+0.504) between detection threshold y and subtraction x (x=λ nir–λ red) is found from the comparing Landsat TM/ETM plus image with the field surveys. Using this relationship, green tide patches can be detected automatically from Landsat TM/ETM plus image. Considering there is brightness difference between different regions in an image, the image will be divided into a plurality of windows (sub-images) with a same size firstly, and then each window will be detected using an adaptive detection threshold determined according to the discovered linear relationship. It is found that big errors will appear in some windows, such as those covered by clouds seriously. To solve this problem, the moving step k of windows is proposed to be less than the window width n. Using this mechanism, most pixels will be detected n/k]×n/k] times except the boundary pixels, then every pixel will be assigned the final class (green tide or sea water) according to majority rule voting strategy. It can be seen from the experiments, the proposed detection method using multi-windows and their adaptive thresholds can detect green tide from Landsat TM/ETM plus image automatically. Meanwhile, it avoids the reliance on the accurate atmospheric correction. |
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| Keywords: | automatic detection green tide adaptive threshold Landsat TM/ETM plus image |
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