{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T05:24:40Z","timestamp":1768886680185,"version":"3.49.0"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"China Civil Aviation Education Talent Project","award":["MHRC202203"],"award-info":[{"award-number":["MHRC202203"]}]},{"name":"Characteristic Innovation Projects of Ordinary Universities in Guangdong Province","award":["2023KTSCX239"],"award-info":[{"award-number":["2023KTSCX239"]}]},{"name":"Guangdong Provincial Education Science Planning Project","award":["2024GXJK876"],"award-info":[{"award-number":["2024GXJK876"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3549427","type":"journal-article","created":{"date-parts":[[2025,3,18]],"date-time":"2025-03-18T17:40:38Z","timestamp":1742319638000},"page":"51874-51890","source":"Crossref","is-referenced-by-count":1,"title":["Airport Clearance Detection Based on Vision Transformer and Multi-Scale Feature Fusion"],"prefix":"10.1109","volume":"13","author":[{"given":"Yutong","family":"Chen","sequence":"first","affiliation":[{"name":"School of Civil Aviation Electronic Information Engineering, Guangzhou Civil Aviation College, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9168-8010","authenticated-orcid":false,"given":"Yufen","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Guangzhou City University of Technology, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhixiong","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Guangzhou City University of Technology, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiang","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Civil Aviation Electronic Information Engineering, Guangzhou Civil Aviation College, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MAES.2010.5442150"},{"key":"ref2","first-page":"1","article-title":"Design and implementation of routing nodes in airport intelligent bird control system","volume":"10","author":"Chen","year":"2010","journal-title":"Comput. Appl. Softw."},{"issue":"12","key":"ref3","first-page":"62","article-title":"Research on a new type of laser bird repellent","volume":"38","author":"Chao","year":"2017","journal-title":"Laser Mag."},{"issue":"5","key":"ref4","first-page":"81","article-title":"Design and experiment of intelligent bird repellent for farmland","volume":"41","author":"Chi","year":"2016","journal-title":"J. Southwest Normal Univ."},{"key":"ref5","first-page":"13","article-title":"Development of airport intelligent bird control system based on wireless communication","volume":"2015","author":"Jian","year":"2015","journal-title":"Shandong, Shandong Normal Univ."},{"key":"ref6","first-page":"23","article-title":"Design and implementation of an intelligent wireless bird destroyer integrating voice and ultrasonic waves","volume":"2011","author":"Junru","year":"2011","journal-title":"Dalian Maritime Univ."},{"key":"ref7","first-page":"5","article-title":"Development of a bird drive vehicle controller based on ARM","volume":"2008","author":"Jinwang"},{"issue":"1","key":"ref8","first-page":"47","article-title":"Multi UAV collaborative airport bird drive task allocation","volume":"37","author":"Mingjun","year":"2019","journal-title":"J. Jilin Univ."},{"key":"ref9","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Ren"},{"key":"ref10","volume-title":"Only Look Once: Unified, Real-Time Object Detection","author":"Redmon","year":"2015"},{"key":"ref11","volume-title":"YOLO9000: Better, Faster, Stronger","author":"Redmon","year":"2016"},{"key":"ref12","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Simonyan"},{"key":"ref13","article-title":"YOLOv3: An incremental improvement","author":"Redmon","year":"2018","journal-title":"arXiv:1804.02767"},{"key":"ref14","volume-title":"YOLOv5","year":"2020"},{"key":"ref15","volume-title":"YOLOv8","year":"2023"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3453379"},{"key":"ref17","article-title":"Ultralytics YOLO11","author":"Jocher","year":"2024"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3453298"},{"key":"ref19","first-page":"170","article-title":"Citrus fruit recognition method based on improved YOLOv5 model","volume":"41","author":"Huang","year":"2022","journal-title":"J. Huazhong Agric. Univ."},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/s24092896"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3340148"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.5121\/csit.2019.91713"},{"key":"ref23","first-page":"1","article-title":"SAN: Scale-aware network for semantic segmentation of high-resolution aerial images","volume-title":"Proc. Comput. Vis. Pattern Recognit.","author":"Lin"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/wacv45572.2020.9093394"},{"key":"ref25","first-page":"12","article-title":"Stitcher: Feedback-driven data provider for object detection","volume-title":"Proc. Comput. Vis. Pattern Recognit.","author":"Chen"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58583-9_34"},{"key":"ref27","first-page":"1","article-title":"YOLOv4: Optimal speed and accuracy of object detection","volume-title":"Proc. Comput. Vis. Pattern Recognit.","author":"Bochkovskiy"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2017.106"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2018.00913"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2018.00377"},{"key":"ref32","first-page":"1","article-title":"SNIPER: Efficient multi-scale training","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Singh"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00615"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2019.00091"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr42600.2020.01261"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.23919\/ChiCC.2018.8482813"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.211"},{"key":"ref38","first-page":"1","article-title":"DetNet: A backbone network for object detection","volume-title":"Proc. Comput. Vis. Pattern Recognit.","author":"Li"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_13"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.444"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01008"},{"key":"ref43","first-page":"1","article-title":"S3FD: Single shot scale-invariant face detector","volume-title":"Proc. IEEE Int. Conf. Comput. Vis.","author":"Zhang"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2019.00093"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00978"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3005151"},{"key":"ref47","article-title":"YOLOv5: V3. 1-Bug fixes and performance improvement","author":"Glenn"},{"key":"ref48","first-page":"1","article-title":"YOLOx: Exceeding YOLO series in 2021","volume-title":"Proc. Comput. Vis. Pattern Recognit.","author":"Ge"},{"issue":"6","key":"ref49","first-page":"13","article-title":"Attention-YOLO: YOLO detection algorithm that introduces attention mechanism","volume":"55","author":"Xu","year":"2019","journal-title":"Comput. Eng. Appl."},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3046515"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/icaiic51459.2021.9415217"},{"issue":"5","key":"ref52","first-page":"1008","article-title":"Fast target detection method for improving MobileNet_YOLOv3 network","volume":"42","author":"Tao-ning","year":"2021","journal-title":"J. Chin. Comput. Syst."},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref54","first-page":"1","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Dosovitskiy"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00312"},{"key":"ref57","first-page":"1","article-title":"CondConv: Conditionally parameterized convolutions for efficient inference","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yang"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01104"},{"key":"ref59","first-page":"1","article-title":"Omni-dimensional dynamic convolution","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Li"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref61","first-page":"1","article-title":"MPDIoU: A loss for efficient and accurate bounding box regression","volume":"2024","author":"Ma","year":"2024","journal-title":"Proc. Comput. Sci."},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.3390\/s21082824"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10931779.pdf?arnumber=10931779","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T03:57:06Z","timestamp":1743220626000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10931779\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":62,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3549427","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}