武测译文 Pub Date : 2023-04-05 DOI: 10.1080/10095020.2023.2183144

Wen Zhang, Baoxin Hu, Glen S. Brown, Shawn Meyer

引用次数: 1

Friedrich Ackermann’s scientific research program 弗里德里希·阿克曼的科学研究计划

武测译文 Pub Date : 2023-04-03 DOI: 10.1080/10095020.2023.2231273

W. Förstner

引用次数: 0

Large-scale automatic block adjustment from satellite to indoor photogrammetry 从卫星到室内摄影测量的大规模自动分块调整

武测译文 Pub Date : 2023-04-03 DOI: 10.1080/10095020.2023.2224837

D. Li, Bo Yang, Mi Wang, Taiping Wang, Yunlong Gao, Y. Pi

{"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}

引用次数: 0

Democratizing photogrammetry: an accuracy perspective 民主化摄影测量:精度视角

武测译文 Pub Date : 2023-04-03 DOI: 10.1080/10095020.2023.2178336

Jie Shan, Zhixin Li, Damon J. Lercel, Kevan Tissue, J. Hupy, Joshua Carpenter

{"title":"Democratizing photogrammetry: an accuracy perspective","authors":"Jie Shan, Zhixin Li, Damon J. Lercel, Kevan Tissue, J. Hupy, Joshua Carpenter","doi":"10.1080/10095020.2023.2178336","DOIUrl":"https://doi.org/10.1080/10095020.2023.2178336","url":null,"abstract":"ABSTRACT Photogrammetry is experiencing an era of democratization mostly due to the popularity and availability of many commercial off-the-shelf devices, such as drones and smartphones. They are used as the most convenient and effective tools for high-resolution image acquisition for a wide range of applications in science, engineering, management, and cultural heritage. However, the quality, particularly the geometric accuracy, of the outcomes from such consumer sensors is still unclear. Furthermore, the expected quality under different control schemes has yet to be thoroughly investigated. This paper intends to answer those questions with a comprehensive comparative evaluation. Photogrammetry, in particular, structure from motion, has been used to reconstruct a 3D building model from smartphone and consumer drone images, as well as from professional drone images, all under various ground control schemes. Results from this study show that the positioning accuracy of smartphone images under direct geo-referencing is 165.4 cm, however, this could be improved to 43.3 cm and 14.5 cm when introducing aerial lidar data and total station surveys as ground control, respectively. Similar results are found for consumer drone images as well. For comparison, this study shows the use of the professional drone is able to achieve a positioning accuracy of 3.7 cm. Furthermore, we demonstrate that through the combined use of drone and smartphone images we are able to obtain full coverage of the entire target with a 2.3 cm positioning accuracy. Our study concludes that smartphone images can achieve an accuracy equivalent to consumer drone images and can be used as the primary data source for building facade data collection.","PeriodicalId":58518,"journal":{"name":"武测译文","volume":"26 1","pages":"175 - 188"},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44934394","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}

引用次数: 2

In memory of Friedrich Ackermann: a personal view 纪念弗里德里希·阿克曼:个人观点

武测译文 Pub Date : 2023-04-03 DOI: 10.1080/10095020.2023.2231736

Ralf W. Schroth

引用次数: 0

In memoriam Prof. Dr.-Ing. Dr. h.C. mult. Friedrich (Fritz) Ackermann 1929 – 2021 为纪念英博士教授。h.C. mult博士。弗里茨·阿克曼1929 - 2021

武测译文 Pub Date : 2023-04-03 DOI: 10.1080/10095020.2023.2231728

D. Fritsch, Uwe Soergel

引用次数: 0

Mangrove plantation suitability mapping by integrating multi criteria decision making geospatial approach and remote sensing data 基于多准则决策地理空间方法和遥感数据的红树林适宜性制图

武测译文 Pub Date : 2023-03-08 DOI: 10.1080/10095020.2023.2167615

R. Sahraei, A. Ghorbanian, Y. Kanani-Sadat, S. Jamali, Saeid Homayouni