{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T13:03:46Z","timestamp":1765976626670,"version":"build-2065373602"},"reference-count":35,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2022,11,27]],"date-time":"2022-11-27T00:00:00Z","timestamp":1669507200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program","doi-asserted-by":"publisher","award":["2021YFF0501004","2021YFF0306302","52078084","cstc2021jcyj-msxmX0623"],"award-info":[{"award-number":["2021YFF0501004","2021YFF0306302","52078084","cstc2021jcyj-msxmX0623"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2021YFF0501004","2021YFF0306302","52078084","cstc2021jcyj-msxmX0623"],"award-info":[{"award-number":["2021YFF0501004","2021YFF0306302","52078084","cstc2021jcyj-msxmX0623"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Natural Science Foundation of Chongqing","award":["2021YFF0501004","2021YFF0306302","52078084","cstc2021jcyj-msxmX0623"],"award-info":[{"award-number":["2021YFF0501004","2021YFF0306302","52078084","cstc2021jcyj-msxmX0623"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Displacement is an important parameter in the assessment of the integrity of infrastructure; thus, its measurement is required in a multitude of guidelines or codes for structural health monitoring in most countries. To develop a low-cost and remote displacement measurement technique, a novel method based on an unmanned aerial vehicle (UAV) and digital image correlation (DIC) is presented in this study. First, an auxiliary reference image that meets the requirements is fabricated using the selected first image. Then, the speeded-up robust features (SURF) algorithm is introduced to track the feature points in the fixed areas. The least square algorithm is then employed to resolve the homography matrix of the auxiliary reference image and target images; then, the acquired homography matrices are utilized to calibrate the deviation caused by the UAV wobble. Finally, the integral pixel and sub-pixel matching of the DIC algorithm is employed to calculate the displacement of the target object. The numerical simulation results show that the proposed method has higher calculation accuracy and stability. The outdoor experiment results show that the proposed method has definite practicability.<\/jats:p>","DOI":"10.3390\/rs14236008","type":"journal-article","created":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T07:01:30Z","timestamp":1669618890000},"page":"6008","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Displacement Measurement Based on UAV Images Using SURF-Enhanced Camera Calibration Algorithm"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2506-0339","authenticated-orcid":false,"given":"Gang","family":"Liu","sequence":"first","affiliation":[{"name":"The Key Laboratory of New Technology for Construction of Cities in Mountain Area of the Ministry of Education, Chongqing University, Chongqing 400045, China"},{"name":"School of Civil Engineering, Chongqing University, Chongqing 400045, China"}]},{"given":"Chenghua","family":"He","sequence":"additional","affiliation":[{"name":"School of Civil Engineering, Chongqing University, Chongqing 400045, China"}]},{"given":"Chunrong","family":"Zou","sequence":"additional","affiliation":[{"name":"China Railway Southwest Research Institute Co., Ltd., Chengdu 610031, China"}]},{"given":"Anqi","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Civil Engineering, Chongqing University, Chongqing 400045, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Wang, J.J., and Li, G.M. 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