isprs archives XLI B3 805 2016
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Goals are defined as follows to study of theoretical models, and demonstrate the impact on the environment and analyze the economic growth models with
It describes a linear feature as a string of points, represents all features in an image as a configuration of a spatial point process, and formulates feature detection as finding
In our pre- vious work (Bulatov et al., 2014b), the road networks from free geographic data, sensor data evaluation results, as well as super- position of both, were analyzed for
The first is the classification of the indicators of mine presence in surface (less compact objects: trench, surface embankment, fords) and linear objects, and the
Also, we presented results on real point clouds acquired by a Velodyne multi-beam sensor: our optimization can be applied to any multi-beam LIDAR sensor configuration, as long as
We proposed two strategies: (1) to sample the point cloud from all the possible plane segments and (2) to use a novel method to store and retrieve spatial data using a layered
method are used as seed points and as the initial known-point set. T he first step of expansion is conducted on the known-point set iteratively to find the feature points.
Second, image matching and relative orientation between image pairs are implemented with the reference image as the left image and its neighbor images as the right image
