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For the detection, a combined approach of four methods achieved the best results, using slope-based DSM filtering as well as classification of multispectral images, elevation data
KEY WORDS: Airborne Laser Scanning, LIDAR, data management, software concept, spatial indices, point
For multi-scale spatial vector data matching, most of methods concentrate on using spatial topological relationship and semantic information in the process of
The performance of the proposed method for urban tree canopy cover mapping using fused multispectral satellite imagery and LiDAR data has been demonstrated.. The proposed
A novel object based semantic point cloud labelling method util- ising the geometrical information from LiDAR point cloud data and spectral information from optical images has
Collection of rainfall data and other collateral data covering the of study area, preparation of based map and land use/land cover on 1:4000 scale using GeoEye imagery,
So, we performed automated aerial photographing using a UAV on March 22 and July 4, 2014, and produced ortho-mosaic photos and DEM data using new photogrammetry software
The algorithm utilized Laplacian of Gaussian (LoG) filter and slope calculation on high resolution multispectral imagery and LiDAR data respectively to extract both primary roa d and
