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RAOD: refined oriented detector with augmented feature in remote sensing images object detection.

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Bibliographic Details
Title: RAOD: refined oriented detector with augmented feature in remote sensing images object detection.
Authors: Shi, Qin1, Zhu, Yu1, zhuyu@ecust.edu.cn, Fang, Chuantao1, Wang, Nan1, Lin, Jiajun1
Source: Applied Intelligence; Oct2022, Vol. 52 Issue 13, p15278-15294, 17p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 159440736
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: RAOD: refined oriented detector with augmented feature in remote sensing images object detection.
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  Data: <searchLink fieldCode="AU" term="%22Shi%2C+Qin%22">Shi, Qin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhu%2C+Yu%22">Zhu, Yu</searchLink><relatesTo>1</relatesTo>, <i>zhuyu@ecust.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Fang%2C+Chuantao%22">Fang, Chuantao</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Nan%22">Wang, Nan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Lin%2C+Jiajun%22">Lin, Jiajun</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Applied+Intelligence%22">Applied Intelligence</searchLink>; Oct2022, Vol. 52 Issue 13, p15278-15294, 17p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=159440736
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s10489-022-03393-8
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 17
        StartPage: 15278
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      – TitleFull: RAOD: refined oriented detector with augmented feature in remote sensing images object detection.
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            NameFull: Shi, Qin
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            NameFull: Zhu, Yu
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            NameFull: Fang, Chuantao
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            NameFull: Wang, Nan
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            NameFull: Lin, Jiajun
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            – D: 01
              M: 10
              Text: Oct2022
              Type: published
              Y: 2022
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              Value: 0924669X
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              Value: 52
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              Value: 13
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            – TitleFull: Applied Intelligence
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