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The influence of principal component analysis on the spatial structure of a multispectral dataset.

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Bibliographic Details
Title: The influence of principal component analysis on the spatial structure of a multispectral dataset.
Authors: Avena, G. C., Ricotta, C., Volpe, F.
Source: International Journal of Remote Sensing; 11/15/99, Vol. 20 Issue 17, p3367-3376, 10p, 2 Black and White Photographs, 2 Charts, 2 Graphs
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 3860507
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: The influence of principal component analysis on the spatial structure of a multispectral dataset.
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  Data: <searchLink fieldCode="AU" term="%22Avena%2C+G%2E+C%2E%22">Avena, G. C.</searchLink><br /><searchLink fieldCode="AU" term="%22Ricotta%2C+C%2E%22">Ricotta, C.</searchLink><br /><searchLink fieldCode="AU" term="%22Volpe%2C+F%2E%22">Volpe, F.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Remote+Sensing%22">International Journal of Remote Sensing</searchLink>; 11/15/99, Vol. 20 Issue 17, p3367-3376, 10p, 2 Black and White Photographs, 2 Charts, 2 Graphs
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=3860507
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    Identifiers:
      – Type: doi
        Value: 10.1080/014311699211381
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 3367
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      – TitleFull: The influence of principal component analysis on the spatial structure of a multispectral dataset.
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            NameFull: Avena, G. C.
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            NameFull: Ricotta, C.
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            NameFull: Volpe, F.
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            – D: 15
              M: 11
              Text: 11/15/99
              Type: published
              Y: 1999
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              Value: 01431161
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              Value: 20
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              Value: 17
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            – TitleFull: International Journal of Remote Sensing
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