CLASSIFICATION OF DATA FROM AIRBORNE LIDAR BATHYMETRY WITH RANDOM FOREST ALGORITHM BASED ON DIFFERENT FEATURE VECTORS

Kogut, T.; Weistock, M.; Bakuła, K.

doi:https://doi.org/10.5194/isprs-archives-XLII-2-W16-143-2019

Articles | Volume XLII-2/W16

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Articles | Volume XLII-2/W16

https://doi.org/10.5194/isprs-archives-XLII-2-W16-143-2019

Articles | Volume XLII-2/W16

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17 Sep 2019

| 17 Sep 2019

CLASSIFICATION OF DATA FROM AIRBORNE LIDAR BATHYMETRY WITH RANDOM FOREST ALGORITHM BASED ON DIFFERENT FEATURE VECTORS

T. Kogut, M. Weistock, and K. Bakuła

T. Kogut

Dept. of Geoinformatics, Koszalin University of Technology, Sniadeckich 2, 75-453 Koszalin, Poland

M. Weistock

Dept. of Geoinformatics, Koszalin University of Technology, Sniadeckich 2, 75-453 Koszalin, Poland

K. Bakuła

Warsaw University of Technology, Faculty of Geodesy and Cartography, Department of Photogrammetry, Remote Sensing and Spatial Information Systems, 00-661 Warsaw, Poland

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CLASSIFICATION OF DATA FROM AIRBORNE LIDAR BATHYMETRY WITH RANDOM FOREST ALGORITHM BASED ON DIFFERENT FEATURE VECTORS

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