isprsannals II 3 W5 333 2015
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Towards this goal, we incorporate a deformable CAD model into a slanted-plane conditional random field for scene flow estimation and enforce shape consistency between the ren- dered
Figure 2: Separating nearby buildings: (a) input (non-ground) point cloud data, (b) extracted building footprint (buildings are merged), (c) corresponding building mask, (d)
Instead of implicitly integrating context in the classification process by using contextual features, CRF offer the possibility to model relations between neighbouring image sites
On the other hand, the problem of extracting a DTM from laser scanning is widely studied, the main challenges being the registration of overlapping strips, the filter- ing of ground
A count ratio (number of OSM buildings / number of reference buildings) tends to underestimate the actual building completeness and an area ratio (total OSM
We propose a framework that considers different aspects of quality control across three main phases of VGI data collection: the conception phase; the acquisition phase; and the
This assessment allowed us to choose a solution to be used as benchmark, in order to perform an evaluation of the accuracy of different positioning methods, and to
Instead of classical granular computing algorithm which extracts the possible granules of the data and then attempts to extract the classification rules, we proposed a
