{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:15:52Z","timestamp":1740147352687,"version":"3.37.3"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T00:00:00Z","timestamp":1733097600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T00:00:00Z","timestamp":1733097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100004410","name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu","doi-asserted-by":"publisher","award":["221N393"],"award-info":[{"award-number":["221N393"]}],"id":[{"id":"10.13039\/501100004410","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1007\/s11760-024-03722-z","type":"journal-article","created":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T14:13:18Z","timestamp":1733148798000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-model tree detection in satellite images with weighted boxes fusion"],"prefix":"10.1007","volume":"19","author":[{"given":"Ozan","family":"Durgut","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cem","family":"\u00dcnsalan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,2]]},"reference":[{"key":"3722_CR1","doi-asserted-by":"crossref","unstructured":"Durgut, O., \u00dcnsalan, C.: A swin transformer, YOLO, and weighted boxes fusion-based approach for tree detection in satellite images. 32nd Signal Processing and Communications Applications Conference (SIU) 1\u20134 (2024)","DOI":"10.1109\/SIU61531.2024.10601134"},{"key":"3722_CR2","doi-asserted-by":"publisher","first-page":"893","DOI":"10.1093\/treephys\/tpr063","volume":"31","author":"D Whitehead","year":"2011","unstructured":"Whitehead, D.: Forests as carbon sinks - benefits and consequences. Tree Phys. 31, 893\u2013902 (2011)","journal-title":"Tree Phys."},{"key":"3722_CR3","doi-asserted-by":"publisher","first-page":"1444","DOI":"10.1126\/science.1155121","volume":"320","author":"GB Bonan","year":"2008","unstructured":"Bonan, G.B.: Forests and climate change: forcings, feedbacks, and the climate benefits of forests. Science 320, 1444\u20131449 (2008)","journal-title":"Science"},{"key":"3722_CR4","unstructured":"FAO. Global forest resources assessment 2020: Main report (Food & Agriculture Organization of the UN,) (2020)"},{"key":"3722_CR5","doi-asserted-by":"publisher","first-page":"5775","DOI":"10.1073\/pnas.1706264114","volume":"114","author":"X Giam","year":"2017","unstructured":"Giam, X.: Global biodiversity loss from tropical deforestation. Proceed. Nat. Acad. Sci. 114, 5775\u20135777 (2017)","journal-title":"Proceed. Nat. Acad. Sci."},{"key":"3722_CR6","doi-asserted-by":"publisher","first-page":"eaaz7005","DOI":"10.1126\/science.aaz7005","volume":"368","author":"WR Anderegg","year":"2020","unstructured":"Anderegg, W.R., et al.: Climate-driven risks to the climate mitigation potential of forests. Science 368, eaaz7005 (2020)","journal-title":"Science"},{"key":"3722_CR7","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1590\/1809-4422ASOC1216V1842015","volume":"18","author":"TB Castelo","year":"2015","unstructured":"Castelo, T.B.: Brazilian forestry legislation and to combat deforestation government policies in the Amazon (Brazilian Amazon). Ambiente & Soc. 18, 221\u2013242 (2015)","journal-title":"Ambiente & Soc."},{"key":"3722_CR8","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1016\/j.forpol.2011.03.013","volume":"13","author":"AA Co\u015fkun","year":"2011","unstructured":"Co\u015fkun, A.A., Gen\u00e7ay, G.: Kyoto protocol and deforestation: A legal analysis on Turkish environment and forest legislation. Forest Policy Econ. 13, 366\u2013377 (2011)","journal-title":"Forest Policy Econ."},{"key":"3722_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10661-019-7379-2","volume":"191","author":"G Gen\u00e7ay","year":"2019","unstructured":"Gen\u00e7ay, G., Birben, \u00dc., Ayd\u0131n, A.: To be a developed country or not to be? The effect of the Paris agreement on Turkish forest law. Environ. Monitor. Assess. 191, 1\u201314 (2019)","journal-title":"Environ. Monitor. Assess."},{"key":"3722_CR10","doi-asserted-by":"publisher","first-page":"18569","DOI":"10.1080\/10106049.2022.2142966","volume":"37","author":"MBA Gibril","year":"2022","unstructured":"Gibril, M.B.A., et al.: Deep convolutional neural networks and swin transformer-based frameworks for individual date palm tree detection and mapping from large-scale UAV images. Geocarto Int. 37, 18569\u201318599 (2022)","journal-title":"Geocarto Int."},{"key":"3722_CR11","doi-asserted-by":"publisher","first-page":"93","DOI":"10.3390\/drones7020093","volume":"7","author":"MBA Gibril","year":"2023","unstructured":"Gibril, M.B.A., et al.: Large-scale date palm tree segmentation from multiscale UAV-based and aerial images using deep vision transformers. Drones 7, 93 (2023)","journal-title":"Drones"},{"key":"3722_CR12","doi-asserted-by":"crossref","unstructured":"Aburasain, R., Edirisinghe, E., Albatay, A.: Palm tree detection in drone images using deep convolutional neural networks: Investigating the effective use of YOLO v3. Conference on Multimedia, Interaction, Design and Innovation 21\u201336 (2020)","DOI":"10.1007\/978-3-030-74728-2_3"},{"key":"3722_CR13","doi-asserted-by":"publisher","first-page":"5545","DOI":"10.3390\/rs14215545","volume":"14","author":"M Luo","year":"2022","unstructured":"Luo, M., et al.: Individual tree detection in coal mine afforestation area based on improved faster RCNN in UAV RGB images. Remote Sens. 14, 5545 (2022)","journal-title":"Remote Sens."},{"key":"3722_CR14","doi-asserted-by":"publisher","first-page":"981","DOI":"10.5194\/isprs-archives-XLIII-B2-2022-981-2022","volume":"43","author":"S Dersch","year":"2022","unstructured":"Dersch, S., Sch\u00f6ttl, A., Krzystek, P., Heurich, M.: Novel single tree detection by transformers using UAV-based multispectral imagery. Int. Arch. Photogramm. Remote. Sens. Spat. Inf. Sci. 43, 981\u2013988 (2022)","journal-title":"Int. Arch. Photogramm. Remote. Sens. Spat. Inf. Sci."},{"key":"3722_CR15","doi-asserted-by":"publisher","first-page":"104117","DOI":"10.1016\/j.imavis.2021.104117","volume":"107","author":"R Solovyev","year":"2021","unstructured":"Solovyev, R., Wang, W., Gabruseva, T.: Weighted boxes fusion: ensembling boxes from different object detection models. Image Vis. Comput. 107, 104117 (2021)","journal-title":"Image Vis. Comput."},{"key":"3722_CR16","unstructured":"Vaswani, A., et\u00a0al.: Attention is all you need. Advances in Neural Information Processing Systems30 (2017)"},{"key":"3722_CR17","doi-asserted-by":"crossref","unstructured":"Liu, Z., et\u00a0al.: Swin transformer: hierarchical vision transformer using shifted windows. Proceedings of the IEEE\/CVF International conference on computer vision 10012\u201310022 (2021)","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"3722_CR18","doi-asserted-by":"crossref","unstructured":"Girshick, R.B., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. arXiv: 1311.2524 (2013)","DOI":"10.1109\/CVPR.2014.81"},{"key":"3722_CR19","unstructured":"Ren, S., He, K., Girshick, R.B., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. arXiv: 1506.01497 (2015)"},{"key":"3722_CR20","doi-asserted-by":"publisher","first-page":"3189691","DOI":"10.1155\/2020\/3189691","volume":"2020","author":"N-D Nguyen","year":"2020","unstructured":"Nguyen, N.-D., Do, T., Ngo, T.D., Le, D.-D.: An evaluation of deep learning methods for small object detection. J. Electric. Comput. Eng. 2020, 3189691 (2020)","journal-title":"J. Electric. Comput. Eng."},{"key":"3722_CR21","doi-asserted-by":"publisher","first-page":"114602","DOI":"10.1016\/j.eswa.2021.114602","volume":"172","author":"Y Liu","year":"2021","unstructured":"Liu, Y., Sun, P., Wergeles, N., Shang, Y.: A survey and performance evaluation of deep learning methods for small object detection. Expert Syst. Appl. 172, 114602 (2021)","journal-title":"Expert Syst. Appl."},{"key":"3722_CR22","doi-asserted-by":"crossref","unstructured":"Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: Unified, real-time object detection, You only look once (2016)","DOI":"10.1109\/CVPR.2016.91"},{"key":"3722_CR23","doi-asserted-by":"publisher","first-page":"116793","DOI":"10.1016\/j.eswa.2022.116793","volume":"197","author":"Y Wang","year":"2022","unstructured":"Wang, Y., et al.: Remote sensing image super-resolution and object detection: benchmark and state of the art. Expert Syst. Appl. 197, 116793 (2022)","journal-title":"Expert Syst. Appl."},{"key":"3722_CR24","unstructured":"Redmon, J., Farhadi, A.: YOLOv3: An incremental improvement. arXiv: 1804.02767 (2018)"},{"key":"3722_CR25","first-page":"12872","volume":"2005","author":"N Carion","year":"2020","unstructured":"Carion, N., et al.: End-to-end object detection with transformers. arXiv 2005, 12872 (2020)","journal-title":"arXiv"},{"key":"3722_CR26","unstructured":"Zhu, X., et\u00a0al.: Deformable DETR: Deformable transformers for end-to-end object detection. arXiv: 2010.04159 (2020)"},{"key":"3722_CR27","doi-asserted-by":"publisher","first-page":"1066","DOI":"10.1016\/j.procs.2022.01.135","volume":"199","author":"P Jiang","year":"2022","unstructured":"Jiang, P., Ergu, D., Liu, F., Cai, Y., Ma, B.: A review of YOLO algorithm developments. Proced. Comput. Sci. 199, 1066\u20131073 (2022)","journal-title":"Proced. Comput. Sci."},{"key":"3722_CR28","unstructured":"Chen, K., et\u00a0al.: Mmdetection: Open MMLab detection toolbox and benchmark. arXiv: 1906.07155 (2019)"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03722-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-024-03722-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03722-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,28]],"date-time":"2025-01-28T17:52:42Z","timestamp":1738086762000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-024-03722-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,2]]},"references-count":28,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,1]]}},"alternative-id":["3722"],"URL":"https:\/\/doi.org\/10.1007\/s11760-024-03722-z","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"type":"print","value":"1863-1703"},{"type":"electronic","value":"1863-1711"}],"subject":[],"published":{"date-parts":[[2024,12,2]]},"assertion":[{"value":"14 August 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 August 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 September 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 December 2024","order":4,"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 conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"32"}}