Pub Date : 2023-05-17DOI: 10.1080/10095020.2022.2163924
Anderson Chaves Carniel
{"title":"Defining and designing spatial queries: the role of spatial relationships","authors":"Anderson Chaves Carniel","doi":"10.1080/10095020.2022.2163924","DOIUrl":"https://doi.org/10.1080/10095020.2022.2163924","url":null,"abstract":"","PeriodicalId":58518,"journal":{"name":"武测译文","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44717375","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":"Measuring the urban sprawl based on economic-dominated perspective: the case of 31 municipalities and provincial capitals","authors":"Qiqi Zhu, Meizhi Zeng, Pengfei Jia, Mingqiang Guo, Xun Liang, Qingfeng Guan","doi":"10.1080/10095020.2023.2202201","DOIUrl":"https://doi.org/10.1080/10095020.2023.2202201","url":null,"abstract":"","PeriodicalId":58518,"journal":{"name":"武测译文","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42104213","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 : 2023-05-02DOI: 10.1080/10095020.2022.2161425
Yanyan Gu, Run Shi, Yan Zhuang, Qingquan Li, Y. Yue
{"title":"How to determine city hierarchies and spatial structure of a megaregion?","authors":"Yanyan Gu, Run Shi, Yan Zhuang, Qingquan Li, Y. Yue","doi":"10.1080/10095020.2022.2161425","DOIUrl":"https://doi.org/10.1080/10095020.2022.2161425","url":null,"abstract":"","PeriodicalId":58518,"journal":{"name":"武测译文","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45690009","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 : 2023-04-20DOI: 10.1080/10095020.2023.2184729
Z. Masoumi, J. van Genderen
{"title":"Artificial intelligence for sustainable development of smart cities and urban land-use management","authors":"Z. Masoumi, J. van Genderen","doi":"10.1080/10095020.2023.2184729","DOIUrl":"https://doi.org/10.1080/10095020.2023.2184729","url":null,"abstract":"","PeriodicalId":58518,"journal":{"name":"武测译文","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41570174","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 : 2023-04-05DOI: 10.1080/10095020.2023.2179428
Hao Li, P. Yue, Shangcheng Li, Chenxiao Zhang, Can Yang
{"title":"Spatio-temporal intention learning for recommendation of next point-of-interest","authors":"Hao Li, P. Yue, Shangcheng Li, Chenxiao Zhang, Can Yang","doi":"10.1080/10095020.2023.2179428","DOIUrl":"https://doi.org/10.1080/10095020.2023.2179428","url":null,"abstract":"","PeriodicalId":58518,"journal":{"name":"武测译文","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45920319","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 : 2023-04-03DOI: 10.1080/10095020.2023.2231273
W. Förstner
ABSTRACT We sketch Friedrich Ackermann’s research program following the concept of Imre Lakatos, with some historical key developments in the theory and application of aerotriangulation and image matching. The research program, with its core being statistical estimation theory, has decisively influenced photogrammetry since the 60s, is still fully alive, and a challenge for today’s methods of image interpretation. We describe (1) Lakatos’ concept of a scientific research program, with its negative and positive heuristics and (2) Ackermann’s research program, clearly made explicit in his PhD, with its mathematical model, the ability to predict theoretical precision and reliability, the potential of analyzing rigorous and approximate method, and the role of testing. The development of aerotriangulation, later augmented by image matching techniques, is closely connected to Ackermann’s successful attempts to integrate basic research and practical applications.
{"title":"Friedrich Ackermann’s scientific research program","authors":"W. Förstner","doi":"10.1080/10095020.2023.2231273","DOIUrl":"https://doi.org/10.1080/10095020.2023.2231273","url":null,"abstract":"ABSTRACT We sketch Friedrich Ackermann’s research program following the concept of Imre Lakatos, with some historical key developments in the theory and application of aerotriangulation and image matching. The research program, with its core being statistical estimation theory, has decisively influenced photogrammetry since the 60s, is still fully alive, and a challenge for today’s methods of image interpretation. We describe (1) Lakatos’ concept of a scientific research program, with its negative and positive heuristics and (2) Ackermann’s research program, clearly made explicit in his PhD, with its mathematical model, the ability to predict theoretical precision and reliability, the potential of analyzing rigorous and approximate method, and the role of testing. The development of aerotriangulation, later augmented by image matching techniques, is closely connected to Ackermann’s successful attempts to integrate basic research and practical applications.","PeriodicalId":58518,"journal":{"name":"武测译文","volume":"26 1","pages":"141 - 150"},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44541524","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 : 2023-04-03DOI: 10.1080/10095020.2023.2224837
D. Li, Bo Yang, Mi Wang, Taiping Wang, Yunlong Gao, Y. Pi
ABSTRACT Block Adjustment (BA) is a critical procedure in the geometric processing of satellite images, responsible for compensating and correcting the geometric positioning errors of the images. The accuracy of the photogrammetric products, including Digital Orthophoto Map (DOM), Digital Elevation Model (DEM), Digital Line Graphic (DLG), and Digital Raster Graphic (DRG), directly depends on the accuracy of BA results. In recent years, the rapid development of related technologies such as Artificial Intelligence (AI), Computer Vision (CV), Unmanned Aerial Vehicles (UAVs) and big data has greatly facilitated and transformed the classical BA in photogrammetry. This paper first reviews the current status of BA and then looks into the future. First, this paper provides a brief review of the key technologies involved in BA, including image matching, the establishment of adjustment model, the determination of the parameters and the detection of gross error. Then, taking the intercross and fusion of current technologies such as AI, cloud computing and big data with photogrammetry into account, this paper explores the future trends of photogrammetry. Finally, four typical cases of large-scale adjustment are introduced, including large-scale BA without Ground Control Points (GCPs) for optical stereo satellite images, large-scale BA with laser altimetry data for optical stereo satellite images, large-scale BA for UAV oblique photogrammetry, and large-scale BA for indoor photogrammetry in caves with a large number of close-range images.
{"title":"Large-scale automatic block adjustment from satellite to indoor photogrammetry","authors":"D. Li, Bo Yang, Mi Wang, Taiping Wang, Yunlong Gao, Y. Pi","doi":"10.1080/10095020.2023.2224837","DOIUrl":"https://doi.org/10.1080/10095020.2023.2224837","url":null,"abstract":"ABSTRACT Block Adjustment (BA) is a critical procedure in the geometric processing of satellite images, responsible for compensating and correcting the geometric positioning errors of the images. The accuracy of the photogrammetric products, including Digital Orthophoto Map (DOM), Digital Elevation Model (DEM), Digital Line Graphic (DLG), and Digital Raster Graphic (DRG), directly depends on the accuracy of BA results. In recent years, the rapid development of related technologies such as Artificial Intelligence (AI), Computer Vision (CV), Unmanned Aerial Vehicles (UAVs) and big data has greatly facilitated and transformed the classical BA in photogrammetry. This paper first reviews the current status of BA and then looks into the future. First, this paper provides a brief review of the key technologies involved in BA, including image matching, the establishment of adjustment model, the determination of the parameters and the detection of gross error. Then, taking the intercross and fusion of current technologies such as AI, cloud computing and big data with photogrammetry into account, this paper explores the future trends of photogrammetry. Finally, four typical cases of large-scale adjustment are introduced, including large-scale BA without Ground Control Points (GCPs) for optical stereo satellite images, large-scale BA with laser altimetry data for optical stereo satellite images, large-scale BA for UAV oblique photogrammetry, and large-scale BA for indoor photogrammetry in caves with a large number of close-range images.","PeriodicalId":58518,"journal":{"name":"武测译文","volume":"26 1","pages":"160 - 174"},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48459090","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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