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Research on fine recognition of site spatial archaeology based on multisource high - resolution data.

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Title: Research on fine recognition of site spatial archaeology based on multisource high - resolution data. (English)
Authors: SHU Huiqin1,2, shuhq521@gmail.com, FANG Junyong1, fangjy@aircas.ac.cn, LU Peng3, GU Wanfa4, WANG Xiao1, ZHANG Xiaohong1, LIU Xue1, DING Lanpo4
Source: Remote Sensing for Natural Resources; Jun2021, Vol. 33 Issue 2, p162-171, 10p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 152983257
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Research on fine recognition of site spatial archaeology based on multisource high - resolution data. (English)
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing+for+Natural+Resources%22">Remote Sensing for Natural Resources</searchLink>; Jun2021, Vol. 33 Issue 2, p162-171, 10p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=152983257
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.6046/gtzyyg.2020293
    Languages:
      – Code: chi
        Text: Chinese
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 162
    Titles:
      – TitleFull: Research on fine recognition of site spatial archaeology based on multisource high - resolution data.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: SHU Huiqin
      – PersonEntity:
          Name:
            NameFull: FANG Junyong
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            NameFull: LU Peng
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            NameFull: GU Wanfa
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            NameFull: WANG Xiao
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            NameFull: ZHANG Xiaohong
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            NameFull: LIU Xue
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            NameFull: DING Lanpo
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          Dates:
            – D: 01
              M: 06
              Text: Jun2021
              Type: published
              Y: 2021
          Identifiers:
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              Value: 2097034X
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              Value: 33
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Remote Sensing for Natural Resources
              Type: main
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