Comparing airborne laser scanning, and image-based point clouds by semi-global matching and enhanced automatic terrain extraction to estimate forest timber volume

Forests

Volumn 8, Issue 6, 2017, Pages

  Ullah, Sami ^a   Dees, Matthias ^a   Datta, Pawan ^a   Adler, Petra ^b   Koch, Barbara ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

^b Baden Württemberg Forest Research Institute   (Germany)

Author keywords

Forest inventory; K Nearest Neighbour; Light Detection and Ranging (LiDAR); Multiple linear regression; Stereo aerial photographs; Support Vector Machine

Indexed keywords

AERIAL PHOTOGRAPHY; EXTRACTION; FORESTRY; IMAGE PROCESSING; LASER APPLICATIONS; LINEAR REGRESSION; MEAN SQUARE ERROR; NEAREST NEIGHBOR SEARCH; OPTICAL RADAR; PARAMETER ESTIMATION; REGRESSION ANALYSIS; SCANNING; STEREO IMAGE PROCESSING; SUPPORT VECTOR MACHINES; SURFACE ANALYSIS; TIMBER;

AERIAL PHOTOGRAPHS; FOREST INVENTORY; K-NEAREST NEIGHBOURS; LIGHT DETECTION AND RANGING; MULTIPLE LINEAR REGRESSIONS;

MAPPING;

AERIAL PHOTOGRAPH; AIRBORNE SENSING; ESTIMATION METHOD; FOREST INVENTORY; IMAGE ANALYSIS; LASER METHOD; LIDAR; REGRESSION ANALYSIS; REMOTE SENSING; SUPPORT VECTOR MACHINE; TERRAIN; TIMBER;

FORESTS; INVENTORY CONTROL; PHOTOGRAPHS; REGRESSION ANALYSIS;

EID: 85021075181     PISSN: None     EISSN: 19994907     Source Type: Journal    
DOI: 10.3390/f8060215     Document Type: Article

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