{"title":"基于BJ-1小卫星遥感数据的海岸工程变化检测对比研究","authors":"Yang Xiaomei","doi":"10.3724/sp.j.1047.2012.00540","DOIUrl":null,"url":null,"abstract":"The coastal engineering exerts a great impact on the economic development and ecological environment of the seacoast.Thus,coastal engineering monitoring is a focus in coast zone remote sensing and monitoring.Since the 1980s,satellite remote sensing has become an indispensable technique in detecting the dynamic changes of coastal engineering.The accuracy of changes in coastal engineering is determined by the applicability of data obtained from remote sensing system and the feasibility of the methods in detecting the changes.As a satellite developed by China,the BJ-1 small satellite has already obtained numerous achievements in environment and disaster monitoring,urban management and construction and national land resource surveying.However,little has been investigated concerning the utilization of BJ-1 small satellite in monitoring the coast engineering.We compared various typical detection methods,and summarized a highly accurate and stable method in monitering the costal engineering with BJ-1 small satellite remote sensing data.Different detection methods were applied to investigate the changes in 2 key areas-Tianjin Port and Caofeidian Port costal engineering from 2006 to 2010 based on the characteristics of BJ-1 small satellite data,and evaluated the detected results.Our findings showed that among the detecting methods with BJ-1 remote sensing data,the maximum precision was obtained when waveband substitution technique was combined with SVM classification to detect the changes in costal engineering.The second precisest and stablest method was object-oriented analysis.These results indicate that,BJ-1 remote sensing data meet the requirements for accuracy in different costal engineering monitoring.Meanwhile,combination of waveband substitution and SVM classification technique,as well as object-oriented analysis,has the highest accuracy and stability in different costal engineering monitoring.","PeriodicalId":67025,"journal":{"name":"地球信息科学学报","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Comparative Study of the Change Detection in Coastal Engineering Using BJ-1 Small Satellite Remote Sensing Data\",\"authors\":\"Yang Xiaomei\",\"doi\":\"10.3724/sp.j.1047.2012.00540\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The coastal engineering exerts a great impact on the economic development and ecological environment of the seacoast.Thus,coastal engineering monitoring is a focus in coast zone remote sensing and monitoring.Since the 1980s,satellite remote sensing has become an indispensable technique in detecting the dynamic changes of coastal engineering.The accuracy of changes in coastal engineering is determined by the applicability of data obtained from remote sensing system and the feasibility of the methods in detecting the changes.As a satellite developed by China,the BJ-1 small satellite has already obtained numerous achievements in environment and disaster monitoring,urban management and construction and national land resource surveying.However,little has been investigated concerning the utilization of BJ-1 small satellite in monitoring the coast engineering.We compared various typical detection methods,and summarized a highly accurate and stable method in monitering the costal engineering with BJ-1 small satellite remote sensing data.Different detection methods were applied to investigate the changes in 2 key areas-Tianjin Port and Caofeidian Port costal engineering from 2006 to 2010 based on the characteristics of BJ-1 small satellite data,and evaluated the detected results.Our findings showed that among the detecting methods with BJ-1 remote sensing data,the maximum precision was obtained when waveband substitution technique was combined with SVM classification to detect the changes in costal engineering.The second precisest and stablest method was object-oriented analysis.These results indicate that,BJ-1 remote sensing data meet the requirements for accuracy in different costal engineering monitoring.Meanwhile,combination of waveband substitution and SVM classification technique,as well as object-oriented analysis,has the highest accuracy and stability in different costal engineering monitoring.\",\"PeriodicalId\":67025,\"journal\":{\"name\":\"地球信息科学学报\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-01-01\",\"publicationTypes\":\"Journal 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The Comparative Study of the Change Detection in Coastal Engineering Using BJ-1 Small Satellite Remote Sensing Data
The coastal engineering exerts a great impact on the economic development and ecological environment of the seacoast.Thus,coastal engineering monitoring is a focus in coast zone remote sensing and monitoring.Since the 1980s,satellite remote sensing has become an indispensable technique in detecting the dynamic changes of coastal engineering.The accuracy of changes in coastal engineering is determined by the applicability of data obtained from remote sensing system and the feasibility of the methods in detecting the changes.As a satellite developed by China,the BJ-1 small satellite has already obtained numerous achievements in environment and disaster monitoring,urban management and construction and national land resource surveying.However,little has been investigated concerning the utilization of BJ-1 small satellite in monitoring the coast engineering.We compared various typical detection methods,and summarized a highly accurate and stable method in monitering the costal engineering with BJ-1 small satellite remote sensing data.Different detection methods were applied to investigate the changes in 2 key areas-Tianjin Port and Caofeidian Port costal engineering from 2006 to 2010 based on the characteristics of BJ-1 small satellite data,and evaluated the detected results.Our findings showed that among the detecting methods with BJ-1 remote sensing data,the maximum precision was obtained when waveband substitution technique was combined with SVM classification to detect the changes in costal engineering.The second precisest and stablest method was object-oriented analysis.These results indicate that,BJ-1 remote sensing data meet the requirements for accuracy in different costal engineering monitoring.Meanwhile,combination of waveband substitution and SVM classification technique,as well as object-oriented analysis,has the highest accuracy and stability in different costal engineering monitoring.
期刊介绍:
Journal of Geo-Information Science is an academic journal under the supervision of Chinese Academy of Sciences, jointly sponsored by Institute of Geographic Sciences and Resources, Chinese Academy of Sciences and Chinese Geographical Society, and also co-sponsored by State Key Laboratory of Resource and Environmental Information System, Key Laboratory of Virtual Geographic Environment of Ministry of Education and Key Laboratory of 3D Information Acquisition and Application of Ministry of Education. Founded in 1996, it is openly circulated in the form of a monthly magazine.
Journal of Geoinformation Science focuses on publishing academic papers with geographic system information flow as the main research object, covering research topics such as geographic information cognitive theory, geospatial big data mining, geospatial intelligent analysis, etc., and pays special attention to the innovative results of theoretical methods in geoinformation science. The journal is aimed at scientific researchers, engineers and decision makers in the fields of cartography and GIS, remote sensing science, surveying and mapping science and technology. It is a core journal of China Science Citation Database (CSCD), a core journal of Chinese science and technology, a national Chinese core journal in domestic and international databases, and it is included in international databases, such as EI Compendex, Geobase, and Scopus.