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APPLICATION OF A PATTERN RECOGNITION ALGORITHM FOR SINGLE TREE DETECTION FROM LiDAR DATA
LiDAR vegetation forestry single-tree detection geomorphon biomass forest inventory JGrassTools
2017/8/10
In the present study, we applied the Particle Swarming Optimization (PSO) procedure to parametrize two Local Maxima (LM) algorithms and a pattern recognition model based on raster and point-cloud data...
COMPARISON BETWEEN AN AREA-BASED AND INDIVIDUAL TREE DETECTION METHOD FOR LOW-PULSE DENSITY ALS-BASED FOREST INVENTORY
Forest inventory Laser scanning k-NN Individual tree detection Accuracy
2016/2/29
Airborne laser scanning (ALS)-based forest inventories are being increasingly used. The two main approaches in deriving forest
information from small-footprint laser scanner data are the area-based a...
3D Segmentation of Full Waveform LIDAR Data for Single Tree Detection Using Normalized Cut
LIDAR Segmentation Aerial Survey Clustering Forestry
2015/12/4
The study highlights a novel method to segment single trees in 3D from dense airborne full waveform LIDAR data using the normalized cut segmentation. The key idea is to subdivide the tree area in a vo...
INDIVIDUAL TREE DETECTION BASED ON DENSITIES OF HIGH POINTS OF HIGH RESOLUTION AIRBORNE LIDAR
Airborne LiDAR densities of high points tree detection Inverse Watershed segmentation
2015/11/16
The retrieval of individual tree location from Airborne LiDAR has focused largely on utilizing canopy height. However, high resolution
Airborne LiDAR offers another source of information for tree de...