{"title":"Analysis of the Influence of Background Areas on the Registration Efficiency of Multiple Images Bridge Structures","authors":"R. Magdeev, G. Safina, A. Tashlinskii","doi":"10.1109/ITNT57377.2023.10138954","DOIUrl":null,"url":null,"abstract":"The paper analyzes the influence of different background areas on the image of a bridge structure on the quality of registration of multi-temporal images of one section using stochastic algorithms. In this case, the images were obtained from an unmanned aerial vehicle having a difference in the coordinates of their acquisition. The influence of registration parameters of images for the sky area, soil cover and the shape of the structure is analyzed under the assumption that the mutual spatial deformations of the images are described by a similarity model. It is shown that the results can be used to search for newly appeared objects in the area of interest.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITNT57377.2023.10138954","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The paper analyzes the influence of different background areas on the image of a bridge structure on the quality of registration of multi-temporal images of one section using stochastic algorithms. In this case, the images were obtained from an unmanned aerial vehicle having a difference in the coordinates of their acquisition. The influence of registration parameters of images for the sky area, soil cover and the shape of the structure is analyzed under the assumption that the mutual spatial deformations of the images are described by a similarity model. It is shown that the results can be used to search for newly appeared objects in the area of interest.