GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY最新文献

{"title":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","authors":"Ivan Brusak, Krzysztof Bakuła, Nataliia Savchuk","doi":"10.23939/istcgcap2023.98.015","DOIUrl":"https://doi.org/10.23939/istcgcap2023.98.015","url":null,"abstract":"Research presents modern technologies of 3D measurements in shipbuilding production parts. Special template of the keel detail was made for the research. The detail measurements with a laser tracker, laser scanning, industrial photogrammetry and handheld scanning are performed. Leica Absolute Tracker AT960-LR was used for Laser tracker measurements. Laser scanning was performed with Z+F Imager 5010. Nikon D2Xs photo camera was used for Industrial photogrammetry. Handheld scanner DPI-7 from DotProduct was also used for 3D measurements of the details. All collected data were imported into 3DReshaper software for comparison. The accuracy comparison for the specific equipment used in the study is performed. The recommendations for optimal equipment use and software products in this research are also included. The authors also present the assessment of the cost and time spent on the measurements.","PeriodicalId":383864,"journal":{"name":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","volume":"484 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139022111","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}

{"title":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","authors":"Yaroslav Vash","doi":"10.23939/istcgcap2023.98.024","DOIUrl":"https://doi.org/10.23939/istcgcap2023.98.024","url":null,"abstract":"The aim of this work is to investigate the process of obtaining necessary information about the metric parameters of small-area arrays, linearly arranged and individual green plantings on predominantly urbanized territories, and to apply the results of data processing in the compilation of topographic and special maps from the corresponding scanning materials. Methodology. For this purpose, terrestrial laser scanning methods, dynamic laser scanning as a data source for tree-level mapping of the territory, and as an information base for filling in the respective cadastres are subject to research. The possibilities of using data from these methods to obtain information about green plantings using modern software tools have been explored. Based on terrestrial laser scanning data performed in accordance with the requirements of regulatory spatial reference documents, data processing of terrestrial laser scanning was carried out using automated methods, namely the Terrasolid software suite. The need for more than 40% coverage of the tree trunk with a point cloud obtained from laser scanning to eliminate possible errors in determining the relevant parameters due to the heterogeneity of the structure of different tree trunks has been confirmed. Preliminary processing of scanning materials was carried out using FARO Scene 2020 software. Scientific novelty and practical significance. An experiment was conducted to analyze the creation of both a plan-altitude and an information base regarding green plantings on selected objects within the Zakarpattia region. The process of collecting data on green plantings was improved by using terrestrial laser scanning and partial GNSS measurements, instead of traditional topographic-geodetic methods. A table containing information on green planting data has been created for the studied objects' territory. Automated methods were used to gather this information, including details about their location in the adopted coordinate system and the trunk diameter at a height of 1.3 meters.","PeriodicalId":383864,"journal":{"name":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","volume":"341 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139023684","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}

{"title":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","authors":"A. Pırtı, Mehmet Ali Yücel","doi":"10.23939/istcgcap2023.98.005","DOIUrl":"https://doi.org/10.23939/istcgcap2023.98.005","url":null,"abstract":"The Svalbard Islands are located in the Arctic Ocean, halfway between Norway and the North Pole. Because of this, the Svalbard Islands exhibit a number of special properties that make it an interesting region for studying interactions between the atmosphere, sea ice, and ocean. In this study, satellite signals of three points (NABG, NYA2 and NYAL) on the island of Svalbard in the Barents Sea were examined. On January 8, 2022, signal jamming effects appeared at all three points. From these two points (NYA2, NYAL), it was obvious that GLONASS, Galileo and Beidou satellites were also recorded in the receivers as well as GPS satellites. For this reason, the effect of the jamming effect on the GPS signals on the position accuracy was investigated using both static and kinematic methods. In addition, both static and kinematic processing at these two points was performed with GLONASS-Galileo-Beidou satellite combinations in order to eliminate the GPS jamming effect. Although the GPS jamming effect is not obtained in large values ​​in the static process, when only GPS satellites are used in the kinematic process, it reaches approximately 5 meters as the maximum horizontal coordinate difference. The maximum height difference recorded was approximately 15 meters. The difference in coordinates between the kinematic and static processes, as determined through the use of GLONASS, Galileo, and Beidou satellites, was around 5 cm. However, in terms of height values, it reached up to about 10 cm. In the Svalbard Islands, when GPS signals are exposed to interference, satisfactory results were obtained by using GLONASS-Galileo-Beidou satellites.","PeriodicalId":383864,"journal":{"name":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139294581","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}

{"title":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","authors":"Y. Lopatin, Wilhelm Heger","doi":"10.23939/istcgcap2021.93.005","DOIUrl":"https://doi.org/10.23939/istcgcap2021.93.005","url":null,"abstract":"The aim of the work is to develop an automated measuring system in a mechanical gyrocompass with the help of specially developed hardware and software in order to facilitate the operation of the device and minimize observer errors. The developed complex provides automation only for the time method, as for the method of the turning point it is necessary to constantly contact the motion screw of the total station. The project is based on an integrated system, the hardware part of which contains a single-board computer, camera, and lens. The main software is a developed motion recognition algorithm with the help of image processing. This algorithm was created using the Python programming language and the open-source computer vision library OpenCV. With the help of the hardware, a video image of the gyroscope's reference scale is obtained, and with the help of the software, the moving light indicator and its position relative to the scale are identified in this image. The result of the study is a functioning automatic measurement system, which determines the value of the azimuth of the direction with the same accuracy as manual measurements. The system is controlled remotely via a computer and wi-fi network. To test the system, a series of automatic and manual measurements were performed simultaneously at the same point for the same direction. Based on the results obtained, it can be stated that the accuracy of the system is within the limits specified by the manufacturer of the device for manual measurements. The application of computer vision technology, namely the tracking of a moving object in the image for gyroscopic measurements can give a significant impetus to the development of automation systems for a wide range of measuring instruments, which in turn can improve the accuracy of measurement results. The developed system can be used together with the Gyromax AK-2M gyrocompass of GeoMessTechnik for carrying out automated measurements, training of new operators. With the help of the developed model, it is possible to avoid gross errors of the observer, to facilitate the measurement process which will not demand the constant presence of the operator near the device. In some dangerous conditions, this is a significant advantage.","PeriodicalId":383864,"journal":{"name":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124681720","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}

{"title":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","authors":"A. Vivat, A. Tserklevych, O. M. Smirnova","doi":"10.23939/istcgcap2018.01.021","DOIUrl":"https://doi.org/10.23939/istcgcap2018.01.021","url":null,"abstract":"","PeriodicalId":383864,"journal":{"name":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114646868","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}

{"title":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","authors":"Yu. R. Pishko","doi":"10.23939/ISTCGCAP2018.01.030","DOIUrl":"https://doi.org/10.23939/ISTCGCAP2018.01.030","url":null,"abstract":"","PeriodicalId":383864,"journal":{"name":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133298611","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}

{"title":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","authors":"K. R. Tretyak, O. Lompas, R. Yakhtоrovych","doi":"10.23939/istcgcap2018.01.036","DOIUrl":"https://doi.org/10.23939/istcgcap2018.01.036","url":null,"abstract":"","PeriodicalId":383864,"journal":{"name":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","volume":"36 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124990800","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}

{"title":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","authors":"V. M. Hlotov, А. V. Hunina, V. Kolesnichenko, O. Prokhorchuk, M. Yurkiv","doi":"10.23939/istcgcap2018.01.048","DOIUrl":"https://doi.org/10.23939/istcgcap2018.01.048","url":null,"abstract":"","PeriodicalId":383864,"journal":{"name":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131528759","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}

{"title":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","authors":"O. Drebot, A. Kudryk, O. Lukianenko","doi":"10.23939/istcgcap2018.01.058","DOIUrl":"https://doi.org/10.23939/istcgcap2018.01.058","url":null,"abstract":"","PeriodicalId":383864,"journal":{"name":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124058835","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}

{"title":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","authors":"Yu. Maksymova","doi":"10.23939/ISTCGCAP2018.01.075","DOIUrl":"https://doi.org/10.23939/ISTCGCAP2018.01.075","url":null,"abstract":"","PeriodicalId":383864,"journal":{"name":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","volume":"141 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129150750","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}