| SHALLOW SEAWATER DEPTH RETRIEVAL BASED ON BOTTOM CLASSIFICATION FROM REMOTE SENSING IMAGERY |
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| 作者姓名： | PANGLei ZHANGMing-bo ZHANGJi-xian ZHENGZhao-qing LINZong-jian |
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| 作者单位： | [1]InstituteofPhotogrammetryandRemoteSensing,ChineseAcademyofSurveyingandMapping,Beijing100039,P.R.China [2]InstituteofGeographicSciencesandNaturalResourcesResearch,ChineseAcademyofSciences,Beeijing100101,P.R.China [3]ShandongUniversityofTechnology,Zibo255049,P.R.China |
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| 基金项目： | Foundation item: Under the auspices of Scientific Foundation Research Project of the Ministry of Science and Technology and Chinese Academy of Surveying and Mapping (No. F0610) |
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| 摘 要： | Remote sensing technique, replacing conventional sonar bathymetry technique, has become an effective complementary method of mapping submarine terrain where special conditions make the sonar technique difficult to be carried out. At the same time, as one kind of data set, multispectral remote sensing data has the disadvantage of being influenced by the variable bottom types in shallow seawater, when it is applied in bathymetry. This paper puts forward a new method to extract water depth information fi‘om multispectral data, considering the bottom classification and the true water depth accuracy. That is the Principal Component Analysis (PCA) technique based on the bottom classification. By the least square regression with significance, the experiment near Qingdao City has obtained more satisfactory bathymetry accuracy than that of the traditional single-band method, with the mean absolute error about 2.57m.
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| 关 键 词： | 遥感 海洋测深 海底地形图 声纳 |
| 收稿时间： | 7 April 2004 |
Shallow seawater depth retrieval based on bottom classification from remote sensing imagery |
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| PANGLei ZHANGMing-bo ZHANGJi-xian ZHENGZhao-qing LINZong-jian.SHALLOW SEAWATER DEPTH RETRIEVAL BASED ON BOTTOM CLASSIFICATION FROM REMOTE SENSING IMAGERY[J].Chinese Geographical Science,2004,14(3):258-262. |
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| Authors: | Pang Lei Zhang Ming-bo Zhang Ji-xian Zheng Zhao-qing Lin Zong-jian |
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| Institution: | (1) Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, 100039 Beijing, P. R. China;(2) Shandong University of Technology, 255049 Zibo, P. R. China;(3) Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101 Beijing, P. R. China |
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| Abstract: | Remote sensing technique, replacing conventional sonar bathymetry technique, has become an effective complementary method of mapping submarine terrain where special conditions make the sonar technique difficult to be carried out. At the same time, as one kind of data set, multispectral remote sensing data has the disadvantage of being influenced by the variable bottom types in shallow seawater, when it is applied in bathymetry. This paper puts forward a new method to extract water depth information from multispectral data, considering the bottom classification and the true water depth accuracy. That is the Principal Component Analysis (PCA) technique based on the bottom classification. By the least square regression with significance, the experiment near Qingdao City has obtained more satisfactory bathymetry accuracy than that of the traditional single-band method, with the mean absolute error about 2.57m. |
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| Keywords: | multispectral remote sensing bathymetry model PCA bottom classification |
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