Pub Date : 2014-01-01DOI: 10.13203/J.WHUGIS20130191
Lt, strong gt, Xinke Li, Chao Gao, Yongcai Guo, Y. Shao, Fuliang He
In order to realize automatic nondestructive testing for surface cable damage on a cablestayed bridge,a distributed machine vision system was developed.It uses four cameras to acquire images around the cable surface.Surface defection may be distributed in several images.An improved scale invariant feature transform(SIFT)feature matching algorithm for image mosaicing is proposed to real time processing to obtain a whole defect effectively.First,feature points are extracted by a Harris operator.Second,according to defect images collected by the system,the steps of the SIFT operator such as the distribution of the main direction for the matching feature points and the matching image rotation is simplified.The simplified SIFT operator is employed to describe the feature points and match the images.Finally,image fusion is implemented and a complete image of a defect is obtained.Experimental results show that the algorithm complexity is greatly reduced and improves detection integrity for surface cable defects using our improved SIFT to automaticslly stitch the defect images together.
{"title":"Using improved SIFT algorithm to implement surface defects detection for bridge cable","authors":"Lt, strong gt, Xinke Li, Chao Gao, Yongcai Guo, Y. Shao, Fuliang He","doi":"10.13203/J.WHUGIS20130191","DOIUrl":"https://doi.org/10.13203/J.WHUGIS20130191","url":null,"abstract":"In order to realize automatic nondestructive testing for surface cable damage on a cablestayed bridge,a distributed machine vision system was developed.It uses four cameras to acquire images around the cable surface.Surface defection may be distributed in several images.An improved scale invariant feature transform(SIFT)feature matching algorithm for image mosaicing is proposed to real time processing to obtain a whole defect effectively.First,feature points are extracted by a Harris operator.Second,according to defect images collected by the system,the steps of the SIFT operator such as the distribution of the main direction for the matching feature points and the matching image rotation is simplified.The simplified SIFT operator is employed to describe the feature points and match the images.Finally,image fusion is implemented and a complete image of a defect is obtained.Experimental results show that the algorithm complexity is greatly reduced and improves detection integrity for surface cable defects using our improved SIFT to automaticslly stitch the defect images together.","PeriodicalId":59659,"journal":{"name":"武汉大学学报(信息科学版)","volume":"40 1","pages":"71-76"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66256511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-01-01DOI: 10.13203/j.whugis20130010
Y. Li, J. Zhang, Zhenhong Li, W. Jiang, Y. Luo, Y. Zhao
{"title":"Detection and correction of phase unwrapping errors in InSAR time series analysis with discrete coherent points","authors":"Y. Li, J. Zhang, Zhenhong Li, W. Jiang, Y. Luo, Y. Zhao","doi":"10.13203/j.whugis20130010","DOIUrl":"https://doi.org/10.13203/j.whugis20130010","url":null,"abstract":"","PeriodicalId":59659,"journal":{"name":"武汉大学学报(信息科学版)","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66256282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-04-01DOI: 10.3319/TAO.2008.19.1-2.103(SA)
H. Motao, Guojun Zhai, O. Yongzhong, L. Xiuping, Chuanyong Liu, Rui Wang
In order to eliminate the inconsistency of the existing data from multi-satellite missions, we propose a new method for optimal combination of altimeter data. In our data management system, the crossover adjustment is modified to two-step processing based on the a posteriori compensation theory of error; i.e., the crossover adjustment of condition equations is made in the first step, and the filtering and prediction of adjustment corrections done along each single pass in the second step. Using the new approach can simplify greatly the computational procedure of crossover adjustment, and the stability and reliability of its solution can be expected. The new method can be used for both local and global crossover adjustment problems. Finally, a practical altimeter dataset from Geosat, ERS-1, ERS-2, and TOPEX/POSEIDON (T/P) is used as a case study to prove the efficiency of the integrated data processing method.
{"title":"Integrated data Processing for Multi-Satellite Missions and recovery of Marine Gravity Field","authors":"H. Motao, Guojun Zhai, O. Yongzhong, L. Xiuping, Chuanyong Liu, Rui Wang","doi":"10.3319/TAO.2008.19.1-2.103(SA)","DOIUrl":"https://doi.org/10.3319/TAO.2008.19.1-2.103(SA)","url":null,"abstract":"In order to eliminate the inconsistency of the existing data from multi-satellite missions, we propose a new method for optimal combination of altimeter data. In our data management system, the crossover adjustment is modified to two-step processing based on the a posteriori compensation theory of error; i.e., the crossover adjustment of condition equations is made in the first step, and the filtering and prediction of adjustment corrections done along each single pass in the second step. Using the new approach can simplify greatly the computational procedure of crossover adjustment, and the stability and reliability of its solution can be expected. The new method can be used for both local and global crossover adjustment problems. Finally, a practical altimeter dataset from Geosat, ERS-1, ERS-2, and TOPEX/POSEIDON (T/P) is used as a case study to prove the efficiency of the integrated data processing method.","PeriodicalId":59659,"journal":{"name":"武汉大学学报(信息科学版)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2008-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3319/TAO.2008.19.1-2.103(SA)","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69520373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-01-01DOI: 10.1007/s11806-006-0155-9
Xin Du, Xiaoguang Zhao
{"title":"Robot tracking by color image","authors":"Xin Du, Xiaoguang Zhao","doi":"10.1007/s11806-006-0155-9","DOIUrl":"https://doi.org/10.1007/s11806-006-0155-9","url":null,"abstract":"","PeriodicalId":59659,"journal":{"name":"武汉大学学报(信息科学版)","volume":"10 1","pages":"33-36"},"PeriodicalIF":0.0,"publicationDate":"2007-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s11806-006-0155-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"52713267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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