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Identification of Roof Materials in Urban Hot Spots From Remote Sensing Imagery Using Deep Learning Methods

Bibliographic Details
Title: Identification of Roof Materials in Urban Hot Spots From Remote Sensing Imagery Using Deep Learning Methods
Authors: Li, Qingyu, Yang, Xinyue
Source: IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2025 - 2025 IEEE International. :3659-3662 Aug, 2025
Relation: IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium
Database: IEEE Xplore Digital Library
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PubType: Conference
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IllustrationInfo
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  Data: Identification of Roof Materials in Urban Hot Spots From Remote Sensing Imagery Using Deep Learning Methods
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Qingyu%22">Li, Qingyu</searchLink><br /><searchLink fieldCode="AR" term="%22Yang%2C+Xinyue%22">Yang, Xinyue</searchLink>
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  Data: IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2025 - 2025 IEEE International. :3659-3662 Aug, 2025
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  Data: IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/IGARSS55030.2025.11243545
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      Pagination:
        PageCount: 4
        StartPage: 3659
    Titles:
      – TitleFull: Identification of Roof Materials in Urban Hot Spots From Remote Sensing Imagery Using Deep Learning Methods
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Li, Qingyu
      – PersonEntity:
          Name:
            NameFull: Yang, Xinyue
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          Dates:
            – D: 03
              M: 08
              Type: published
              Y: 2025
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              Value: 9798331508104
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            – TitleFull: IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, Geoscience and Remote Sensing Symposium, IGARSS 2025 - 2025 IEEE International
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