isprs annals III 3 325 2016
Teks penuh
Gambar
Garis besar
Dokumen terkait
To minimize the impact of the tree crowns represented in the raster on water flow modeling, we classified high vegetation and removed it from the point clouds using a
For the analysis, segments of point clouds from different heights along the stem were obtained from the tree stem. The segments were manually cleaned to only contain points
Then four consecutive procedures are conducted on those point clouds, which are voxelization, dimension analysis, clustering similar voxel cells and constructing EGI features for
In this section, we describe our method for precise 3D see-through imaging (transparent visualization) of the large-scale complex point clouds acquired via the laser scanning of
Hence, the aim here is to achieve the most accurate classification maps by taking advantage of both data sources at the decision level: spectral properties of the hyperspectral data
In this paper, we used the SFM method to recover camera parameters and sparse 3D scene geometry (Hartley and Zisserman, 2003). Because the SFM procedure can only recover
Automatic assessment of data acquisition and transmission losses has helped in quick quality tagging of browse images which is extremely useful for the users
Due to narrow streets in urban areas, ac- quiring the data from a terrestrial platform requires relative ori- entation, matching with the 3D building models using a gener- ated
