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Based on this, the detection principle of CMDTD including its backbone network and multidirectional multi\u2010information detection end module has been studied. In addition, in view of the complexity of the scene faced by aerial view of vehicles, a unique data expansion method is proposed. At last, three datasets have been experimented using the CMDTD algorithm, proving that the cascaded multidirectional object detection algorithm with high effectiveness is superior to other methods.<\/jats:p>","DOI":"10.1155\/2021\/5597168","type":"journal-article","created":{"date-parts":[[2021,4,12]],"date-time":"2021-04-12T17:10:53Z","timestamp":1618247453000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multidirection Object Detection in Aerial View of Traffic Target under Complex Scenes"],"prefix":"10.1155","volume":"2021","author":[{"given":"Zeqing","family":"Zhang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8511-5955","authenticated-orcid":false,"given":"Weiwei","family":"Lin","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5380-098X","authenticated-orcid":false,"given":"Yuqiang","family":"Zheng","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,4,12]]},"reference":[{"key":"e_1_2_7_1_2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3016820"},{"key":"e_1_2_7_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3015157"},{"key":"e_1_2_7_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2878958"},{"key":"e_1_2_7_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2897139"},{"key":"e_1_2_7_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2919755"},{"key":"e_1_2_7_6_2","doi-asserted-by":"crossref","unstructured":"XiaG. 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