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However, these methods are time-consuming, labor-intensive, and costly, and the detection results significantly depend on the experience of inspectors, often resulting in lower precision. Focusing on the dynamic characteristics (i.e., natural frequencies) of large wind turbine blades, this study proposes a monitoring method based on the target-free DSST (Discriminative Scale Space Tracker) vision algorithm and UAV. First, the displacement drift of UAV during hovering is studied. Accordingly, a displacement compensation method based on high-pass filtering is proposed herein, and the scale factor is adaptive. Then, the machine learning is employed to map the position and scale filters of the DSST algorithm to highlight the features of the target image. Subsequently, a target-free DSST vision algorithm is proposed, in which illumination changes and complex backgrounds are considered. Additionally, the algorithm is verified using traditional computer vision algorithms. Finally, the UAV and the target-free DSST vision algorithm are used to extract the dynamic characteristic of the wind turbine blades under shutdown. Results show that the proposed method can accurately identify the dynamic characteristics of the wind turbine blade. This study can serve as a reference for assessment of the condition of wind turbine blades.<\/jats:p>","DOI":"10.3390\/rs14133113","type":"journal-article","created":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T01:48:38Z","timestamp":1656467318000},"page":"3113","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Dynamic Characteristics Monitoring of Large Wind Turbine Blades Based on Target-Free DSST Vision Algorithm and UAV"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0409-7247","authenticated-orcid":false,"given":"Wanrun","family":"Li","sequence":"first","affiliation":[{"name":"Institution of Earthquake Protection and Disaster Mitigation, Lanzhou University of Technology, Lanzhou 733050, China"},{"name":"International Research Base on Seismic Mitigation and Isolation of GANSU Province, Lanzhou University of Technology, Lanzhou 733050, China"},{"name":"Disaster Prevention and Mitigation Engineering Research Center of Western Civil Engineering, Lanzhou University of Technology, Lanzhou 733050, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7865-2813","authenticated-orcid":false,"given":"Wenhai","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institution of Earthquake Protection and Disaster Mitigation, Lanzhou University of Technology, Lanzhou 733050, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2254-8969","authenticated-orcid":false,"given":"Jiaze","family":"Gu","sequence":"additional","affiliation":[{"name":"School of Computer and Communication, Lanzhou University of Technology, Lanzhou 733050, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7733-4960","authenticated-orcid":false,"given":"Boyuan","family":"Fan","sequence":"additional","affiliation":[{"name":"Institution of Earthquake Protection and Disaster Mitigation, Lanzhou University of Technology, Lanzhou 733050, China"}]},{"given":"Yongfeng","family":"Du","sequence":"additional","affiliation":[{"name":"Institution of Earthquake Protection and Disaster Mitigation, Lanzhou University of Technology, Lanzhou 733050, China"},{"name":"International Research Base on Seismic Mitigation and Isolation of GANSU Province, Lanzhou University of Technology, Lanzhou 733050, China"},{"name":"Disaster Prevention and Mitigation Engineering Research Center of Western Civil Engineering, Lanzhou University of Technology, Lanzhou 733050, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,6,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"110447","DOI":"10.1016\/j.rser.2020.110447","article-title":"Considerations for the structural analysis and design of wind turbine towers: A review","volume":"137","year":"2021","journal-title":"Renew. 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