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A PCA and Mesh Adaptation‐Based Format for High Compression of Earth Observation Optical Data With Applications in Agriculture.

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Title: A PCA and Mesh Adaptation‐Based Format for High Compression of Earth Observation Optical Data With Applications in Agriculture.
Authors: Liverotti, Luca1, Ferro, Nicola1,2, nicola.ferro@polimi.it, Matteucci, Matteo3, Perotto, Simona1
Source: International Journal for Numerical Methods in Engineering; Jun2025, Vol. 126 Issue 12, p1-25, 25p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 186226255
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  Data: A PCA and Mesh Adaptation‐Based Format for High Compression of Earth Observation Optical Data With Applications in Agriculture.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+for+Numerical+Methods+in+Engineering%22">International Journal for Numerical Methods in Engineering</searchLink>; Jun2025, Vol. 126 Issue 12, p1-25, 25p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186226255
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      – Type: doi
        Value: 10.1002/nme.70064
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      – Code: eng
        Text: English
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        PageCount: 25
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      – TitleFull: A PCA and Mesh Adaptation‐Based Format for High Compression of Earth Observation Optical Data With Applications in Agriculture.
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            NameFull: Liverotti, Luca
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            NameFull: Ferro, Nicola
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            NameFull: Matteucci, Matteo
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              Text: Jun2025
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              Y: 2025
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              Value: 126
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            – TitleFull: International Journal for Numerical Methods in Engineering
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