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Many researchers use different DCNN models to detect remote sensing targets. Different DCNN models have different advantages and disadvantages. In this paper, we use YoloV4 as the detector to \u201cfine-tune\u201d various mainstream deep convolutional neural networks on two large public remote sensing data sets\u2212LEVIR data set and DOTA data set to compare the advantages of various networks. This paper analyzes the reasons why the effect of \u201cfine-tuning\u201d convolutional neural networks is sometimes not good, and points out the difficulties of object detection in optical remote sensing images. To improve the detection accuracy of optical remote sensing targets, in addition to \u201cfine-tuning\u201d convolutional neural network, we also provide a variety of adaptive multi-scale feature fusion methods to improve the detection accuracy. In addition, for the large number of parameters generated by deep convolutional neural network, we provide a method to save storage space.<\/jats:p>","DOI":"10.1186\/s13640-022-00586-6","type":"journal-article","created":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T11:04:26Z","timestamp":1654599866000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Performance analysis of different DCNN models in remote sensing image object detection"],"prefix":"10.1186","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6641-6469","authenticated-orcid":false,"given":"Huaijin","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jixiang","family":"Du","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongbo","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,6,7]]},"reference":[{"key":"586_CR1","unstructured":"K. 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