{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:00:17Z","timestamp":1760234417777,"version":"build-2065373602"},"reference-count":40,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2021,5,19]],"date-time":"2021-05-19T00:00:00Z","timestamp":1621382400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the National Science Fund for Distinguished Young Scholars of China","award":["51625501"],"award-info":[{"award-number":["51625501"]}]},{"name":"Aeronautical Science Foundation of China","award":["201946051002"],"award-info":[{"award-number":["201946051002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The mobile vision measurement system (MVMS) is widely used for location and attitude measurement in aircraft takeoff and landing, and its on-site global calibration is crucial to obtaining high-accuracy measurement aimed at obtaining the transformation relationship between the MVMS coordinate system and the local-tangent-plane coordinate system. In this paper, several new ideas are proposed to realize the global calibration of the MVMS effectively. First, the MVMS is regarded as azimuth and pitch measurement equipment with a virtual single image plane at focal length 1. Second, a new virtual omnidirectional camera model constructed by three mutual orthogonal image planes is put forward, which effectively resolves the problem of global calibration error magnification when the angle between the virtual single image plane and view axis of the system becomes small. Meanwhile, an expanded factorial linear method is proposed to solve the global calibration equations, which effectively restrains the influence of calibration data error. Experimental results with synthetic data verify the validity of the proposed method.<\/jats:p>","DOI":"10.3390\/rs13101982","type":"journal-article","created":{"date-parts":[[2021,5,19]],"date-time":"2021-05-19T21:49:21Z","timestamp":1621460961000},"page":"1982","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["On-Site Global Calibration of Mobile Vision Measurement System Based on Virtual Omnidirectional Camera Model"],"prefix":"10.3390","volume":"13","author":[{"given":"Binhu","family":"Chai","sequence":"first","affiliation":[{"name":"Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation and Opto-Electronics Engineering, Beihang University, Beijing 100191, China"}]},{"given":"Zhenzhong","family":"Wei","sequence":"additional","affiliation":[{"name":"Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation and Opto-Electronics Engineering, Beihang University, Beijing 100191, China"}]}],"member":"1968","published-online":{"date-parts":[[2021,5,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Chai, B., Liu, F., Huang, Z., Tan, K., and Wei, Z. 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