Aircraft segmentation in remote sensing images based on multi-scale residual U-Net with attention.
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| Title: | Aircraft segmentation in remote sensing images based on multi-scale residual U-Net with attention. |
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| Authors: | Wang, Xuqi1, wangxuqi@xijing.edu.cn, Zhang, Shanwen1, Huang, Lei2 |
| Source: | Multimedia Tools & Applications; Feb2024, Vol. 83 Issue 6, p17855-17872, 18p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 175166654 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Aircraft segmentation in remote sensing images based on multi-scale residual U-Net with attention. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Wang%2C+Xuqi%22">Wang, Xuqi</searchLink><relatesTo>1</relatesTo>, <i>wangxuqi@xijing.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Shanwen%22">Zhang, Shanwen</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Huang%2C+Lei%22">Huang, Lei</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Feb2024, Vol. 83 Issue 6, p17855-17872, 18p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=175166654 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-023-16210-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 17855 Titles: – TitleFull: Aircraft segmentation in remote sensing images based on multi-scale residual U-Net with attention. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Xuqi – PersonEntity: Name: NameFull: Zhang, Shanwen – PersonEntity: Name: NameFull: Huang, Lei IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 02 Text: Feb2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 83 – Type: issue Value: 6 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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