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change detection model, in which a multi-kernel function on multi-feature space was combined after applying an independent kernel function for different feature
For multi-scale spatial vector data matching, most of methods concentrate on using spatial topological relationship and semantic information in the process of
Figure 13: Projected (top) and colored (bottom) point cloud using original calibration (left) and relative orientation given by resec- tion (right).. Figure 14: Projected (top)
During the data processing, the camera calibration and orientation was carried out by the software Agisoft Photoscans and the final result has allowed to achieve a scaled 3D model
A Digital Elevation Model (DEM) is interpolated from the ground points of the first campaign as a common reference surface for the calculation of plant
In this paper, a new unsupervised change detection approach is proposed using DWT image fusion and BSA clustering for multi-temporal optical data. The performance of
It is based on a linear approach for the estimation of the ROPs among the available stereo-pairs as well as the sequential estimation of the rotational and
The estimated velocities of IGS stations on the Indian plate and its adjacent plates in the ITRF-2008 frame, Indian reference frame and also relative to
