{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T17:22:23Z","timestamp":1782408143862,"version":"3.54.5"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2025,2,14]],"date-time":"2025-02-14T00:00:00Z","timestamp":1739491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,2,14]],"date-time":"2025-02-14T00:00:00Z","timestamp":1739491200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62303005"],"award-info":[{"award-number":["62303005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimedia Systems"],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1007\/s00530-025-01702-y","type":"journal-article","created":{"date-parts":[[2025,2,14]],"date-time":"2025-02-14T17:17:11Z","timestamp":1739553431000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["LAM-YOLOv11 for UAV transmission line inspection: overcoming environmental challenges with enhanced detection efficiency"],"prefix":"10.1007","volume":"31","author":[{"given":"Yang","family":"Xuan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao-Yu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chaoxu","family":"Mu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,2,14]]},"reference":[{"key":"1702_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIM.2022.3220285","volume":"71","author":"Z Yang","year":"2022","unstructured":"Yang, Z., Xu, Z., Wang, Y.: Bidirection-fusion-YOLOv3: an improved method for insulator defect detection using UAV image. IEEE Trans. Instrum. Meas. 71, 1\u20138 (2022)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"1702_CR2","doi-asserted-by":"publisher","first-page":"9305","DOI":"10.1007\/s13369-021-05522-w","volume":"46","author":"SY Wong","year":"2021","unstructured":"Wong, S.Y., Choe, C.W.C., Goh, H.H., Low, Y.W., Cheah, D.Y.S., Pang, C.: Power transmission line fault detection and diagnosis based on artificial intelligence approach and its development in UAV: a review. Arab. J. Sci. Eng. 46, 9305\u20139331 (2021)","journal-title":"Arab. J. Sci. Eng."},{"key":"1702_CR3","doi-asserted-by":"crossref","unstructured":"Li, Z., Zheng, Z., Shi, S., Rui, E.: Design of porcelain insulator defect recognition system based on uav line inspection image. In: 6GN for Future Wireless Networks: 4th EAI International Conference, 6GN 2021, Huizhou, China, October 30\u201331, 2021, Proceedings, pp. 397\u2013408. Springer, Berlin (2022)","DOI":"10.1007\/978-3-031-04245-4_35"},{"issue":"8","key":"1702_CR4","doi-asserted-by":"publisher","first-page":"5537","DOI":"10.1109\/TII.2022.3142723","volume":"18","author":"H Liu","year":"2022","unstructured":"Liu, H., Sun, Y., Cao, J., Chen, S., Pan, N., Dai, Y., Pan, D.: Study on UAV parallel planning system for transmission line project acceptance under the background of industry 5.0. IEEE Trans. Ind. Inf. 18(8), 5537\u20135546 (2022)","journal-title":"IEEE Trans. Ind. Inf."},{"issue":"4","key":"1702_CR5","doi-asserted-by":"publisher","first-page":"3047","DOI":"10.1109\/JIOT.2022.3150298","volume":"10","author":"W Tang","year":"2023","unstructured":"Tang, W., Yang, Q., Hu, X., Yan, W.: Edge intelligence for smart EL images defects detection of PV plants in the IoT-based inspection system. IEEE Internet Things J. 10(4), 3047\u20133056 (2023). https:\/\/doi.org\/10.1109\/JIOT.2022.3150298","journal-title":"IEEE Internet Things J."},{"issue":"5","key":"1702_CR6","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1109\/JIOT.2016.2579198","volume":"3","author":"W Shi","year":"2016","unstructured":"Shi, W., Cao, J., Zhang, Q., Li, Y., Xu, L.: Edge computing: vision and challenges. IEEE Internet Things J. 3(5), 637\u2013646 (2016). https:\/\/doi.org\/10.1109\/JIOT.2016.2579198","journal-title":"IEEE Internet Things J."},{"issue":"17","key":"1702_CR7","doi-asserted-by":"publisher","first-page":"15435","DOI":"10.1109\/JIOT.2022.3176400","volume":"9","author":"P McEnroe","year":"2022","unstructured":"McEnroe, P., Wang, S., Liyanage, M.: A survey on the convergence of edge computing and AI for UAVs: opportunities and challenges. IEEE Internet Things J. 9(17), 15435\u201315459 (2022). https:\/\/doi.org\/10.1109\/JIOT.2022.3176400","journal-title":"IEEE Internet Things J."},{"key":"1702_CR8","doi-asserted-by":"crossref","unstructured":"Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR\u201905), vol. 1, pp. 886\u2013893. IEEE (2005)","DOI":"10.1109\/CVPR.2005.177"},{"issue":"4","key":"1702_CR9","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1109\/5254.708428","volume":"13","author":"MA Hearst","year":"1998","unstructured":"Hearst, M.A., Dumais, S.T., Osuna, E., Platt, J., Scholkopf, B.: Support vector machines. IEEE Intell. Syst. Appl. 13(4), 18\u201328 (1998). https:\/\/doi.org\/10.1109\/5254.708428","journal-title":"IEEE Intell. Syst. Appl."},{"key":"1702_CR10","doi-asserted-by":"crossref","unstructured":"Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2014)","DOI":"10.1109\/CVPR.2014.81"},{"key":"1702_CR11","doi-asserted-by":"crossref","unstructured":"Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C.-Y., Berg, A.C.: SSD: single shot multibox detector. In: Computer Vision\u2014ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11\u201314, 2016, Proceedings, Part I 14, pp. 21\u201337. Springer, Berlin (2016)","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"1702_CR12","doi-asserted-by":"crossref","unstructured":"Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: unified, real-time object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 779\u2013788 (2016)","DOI":"10.1109\/CVPR.2016.91"},{"issue":"4","key":"1702_CR13","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1007\/s00530-024-01413-w","volume":"30","author":"Y Zhang","year":"2024","unstructured":"Zhang, Y., Dou, Y., Yang, K., Song, X., Wang, J., Zhao, L.: Insulator defect detection based on bas-yolov5. Multimed. Syst. 30(4), 212 (2024)","journal-title":"Multimed. Syst."},{"key":"1702_CR14","doi-asserted-by":"crossref","unstructured":"Sun, D., Zhang, C., Yang, T., Ren, C., Yan, K., Gao, M., Zhang, C.: Rust detection network for transmission line based on UAV inspection. In: International Conference on Intelligent Computing, pp. 463\u2013473. Springer, Berlin (2024)","DOI":"10.1007\/978-981-97-5612-4_40"},{"key":"1702_CR15","doi-asserted-by":"crossref","unstructured":"Zhu, J., Wang, T., Wang, L., Luo, Z.: Transmission line equipment defect detection based on improved yolo network. In: International Conference on Neural Computing for Advanced Applications, pp. 354\u2013368. Springer, Berlin (2024)","DOI":"10.1007\/978-981-97-7007-6_25"},{"issue":"1","key":"1702_CR16","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1007\/s00530-024-01595-3","volume":"31","author":"Z Li","year":"2025","unstructured":"Li, Z., He, Q., Ren, L., Yao, W., Yang, W.: PCAF: UAV scenarios detector via pyramid converge-and-assign fusion network. Multimed. Syst. 31(1), 25 (2025)","journal-title":"Multimed. Syst."},{"issue":"5","key":"1702_CR17","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1007\/s11554-023-01360-1","volume":"20","author":"L Lu","year":"2023","unstructured":"Lu, L., Chen, Z., Wang, R., Liu, L., Chi, H.: Yolo-inspection: defect detection method for power transmission lines based on enhanced YOLOv5s. J. Real-Time Image Process. 20(5), 104 (2023)","journal-title":"J. Real-Time Image Process."},{"issue":"6","key":"1702_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11554-024-01577-8","volume":"21","author":"Y Xiang","year":"2024","unstructured":"Xiang, Y., Du, C., Mei, Y., Zhang, L., Du, Y., Liu, A.: BN-YOLO: a lightweight method for bird\u2019s nest detection on transmission lines. J. Real-Time Image Process. 21(6), 1\u201314 (2024)","journal-title":"J. Real-Time Image Process."},{"issue":"1","key":"1702_CR19","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1007\/s11554-024-01566-x","volume":"22","author":"RS Sankuri","year":"2025","unstructured":"Sankuri, R.S., Sristy, N.B., Karri, S.P.K.: Syflo: augmenting yolo for real-time health monitoring of electric assets in power transmission lines. J. Real-Time Image Process. 22(1), 13 (2025)","journal-title":"J. Real-Time Image Process."},{"issue":"1","key":"1702_CR20","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1007\/s00530-024-01617-0","volume":"31","author":"Z Zheng","year":"2025","unstructured":"Zheng, Z., Yu, W.: RG-YOLO: multi-scale feature learning for underwater target detection. Multimed. Syst. 31(1), 26 (2025)","journal-title":"Multimed. Syst."},{"key":"1702_CR21","unstructured":"Tao, X., Zhang, D., Wang, Z., Liu, X., Zhang, H., Xu, D.: Detection of power line insulator defects using aerial images analyzed with convolutional neural networks. IEEE Trans. Syst. Man Cybern. Syst. (2018)"},{"key":"1702_CR22","unstructured":"Redmon, J., Farhadi, A.: Yolov3: an incremental improvement. arXiv preprint arXiv:1804.02767 (2018)"},{"key":"1702_CR23","unstructured":"Bochkovskiy, A., Wang, C.-Y., Liao, H.-Y.M.: Yolov4: Optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934 (2020)"},{"key":"1702_CR24","unstructured":"Ultralytics: YOLOv5. https:\/\/github.com\/ultralytics\/yolov5. Online Accessed 14 July 2024 (2023)"},{"key":"1702_CR25","unstructured":"Li, C., Li, L., Jiang, H., Weng, K., Geng, Y., Li, L., Ke, Z., Li, Q., Cheng, M., Nie, W., Li, Y., Zhang, B., Liang, Y., Zhou, L., Xu, X., Chu, X., Wei, X., Wei, X.: YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications (2022). https:\/\/arxiv.org\/abs\/2209.02976"},{"key":"1702_CR26","doi-asserted-by":"crossref","unstructured":"Wang, C.-Y., Bochkovskiy, A., Liao, H.-Y.M.: Yolov7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors. arXiv preprint arXiv:2207.02696 (2022)","DOI":"10.1109\/CVPR52729.2023.00721"},{"key":"1702_CR27","unstructured":"Jocher, G., Chaurasia, A., Qiu, J.: Ultralytics YOLO. https:\/\/github.com\/ultralytics\/ultralytics"},{"key":"1702_CR28","doi-asserted-by":"crossref","unstructured":"Wang, C.-Y., Yeh, I.-H., Liao, H.-Y.M.: YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information (2024). https:\/\/arxiv.org\/abs\/2402.13616","DOI":"10.1007\/978-3-031-72751-1_1"},{"key":"1702_CR29","unstructured":"Wang, A., Chen, H., Liu, L., Chen, K., Lin, Z., Han, J., Ding, G.: YOLOv10: Real-Time End-to-End Object Detection (2024). https:\/\/arxiv.org\/abs\/2405.14458"},{"key":"1702_CR30","doi-asserted-by":"publisher","first-page":"105004","DOI":"10.1109\/ACCESS.2024.3434687","volume":"12","author":"C Liu","year":"2024","unstructured":"Liu, C., Wei, S., Zhong, S., Yu, F.: YOLO-Powerlite: a lightweight YOLO model for transmission line abnormal target detection. IEEE Access 12, 105004\u2013105015 (2024). https:\/\/doi.org\/10.1109\/ACCESS.2024.3434687","journal-title":"IEEE Access"},{"key":"1702_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIM.2024.3381693","volume":"73","author":"S Panigrahy","year":"2024","unstructured":"Panigrahy, S., Karmakar, S.: Real-time condition monitoring of transmission line insulators using the YOLO object detection model with a UAV. IEEE Trans. Instrum. Meas. 73, 1\u20139 (2024). https:\/\/doi.org\/10.1109\/TIM.2024.3381693","journal-title":"IEEE Trans. Instrum. Meas."}],"container-title":["Multimedia Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-025-01702-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00530-025-01702-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-025-01702-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,21]],"date-time":"2025-04-21T19:36:52Z","timestamp":1745264212000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00530-025-01702-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,14]]},"references-count":31,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,4]]}},"alternative-id":["1702"],"URL":"https:\/\/doi.org\/10.1007\/s00530-025-01702-y","relation":{},"ISSN":["0942-4962","1432-1882"],"issn-type":[{"value":"0942-4962","type":"print"},{"value":"1432-1882","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,14]]},"assertion":[{"value":"30 December 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 January 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 February 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"110"}}