Extracting Shallow-Water Bathymetry from Lidar Point Clouds Using Pulse Attribute Data: Merging Density-Based and Machine Learning Approaches.

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Title: Extracting Shallow-Water Bathymetry from Lidar Point Clouds Using Pulse Attribute Data: Merging Density-Based and Machine Learning Approaches.
Authors: Lowell, Kim1 (AUTHOR), Calder, Brian1 (AUTHOR)
Source: Marine Geodesy. Jul2021, Vol. 44 Issue 4, p259-286. 28p.
Database: Environment Complete
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  Data: Extracting Shallow-Water Bathymetry from Lidar Point Clouds Using Pulse Attribute Data: Merging Density-Based and Machine Learning Approaches.
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  Data: <searchLink fieldCode="JN" term="%22Marine+Geodesy%22">Marine Geodesy</searchLink>. Jul2021, Vol. 44 Issue 4, p259-286. 28p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/01490419.2021.1925790
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      – Code: eng
        Text: English
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        PageCount: 28
        StartPage: 259
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      – TitleFull: Extracting Shallow-Water Bathymetry from Lidar Point Clouds Using Pulse Attribute Data: Merging Density-Based and Machine Learning Approaches.
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            NameFull: Lowell, Kim
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            – D: 01
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              Text: Jul2021
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              Y: 2021
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