isprsarchives XL 1 W4 33 2015
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The camera pose is computed using the entire images intensities under a photometric visual and virtual servoing (VVS) framework1. The camera extrinsic and intrinsic parameters
Figure 10: 3D surface model of the exterior walls (left) and the interior area (right) of the fortress Al Zubarah with and without texture generated with Autodesk web service
The experiments confirmed that line and catenary modeling based on the point cloud created by dense image matching is feasible, though, certain conditions need to be met. The
The results of the presented experiment validate the water delineation from SAR imagery using ortho-image mosaic generated from the sUAS images.. The red rectangle in Figure 8
The resulted orthomosaic from the collected aerial RGB images and the calculated GRVI index on the detected canopy are shown in Figure 2.. The resulted DSM from the aerial dataset
Figure 4: Based on an unsupervised segmentation, rule-based classification and data fusion process the developed algorithm managed to extract building footprints.. A
Obtained high resolution images were used for estimation of breeding population size and compared with the results of measurements taken at the same time from the ground..
In the first phase, data pre-processing steps are performed, which include the Aero-Triangulation (AT) of UAV images based on GCPs, road area extraction from MLS
