isprs annals III 3 225 2016
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- Construction of 3D video scenes is carried out using 3D GIS tools by initial DEM and DOM obtained by various means for capture and processing of cartographic data, satellite
The improvement originates in an interpolation algorithm that generates a height map from sparse point cloud data by preserving ridge lines and step edges of roofs.. Roof planes
as foreground for SC approach in the first row (Fig. This is because if there is a more compact contour that results in lower energy, it will be preferred. For our method,
Domain adaptation techniques in transfer learning try to reduce the amount of training data required for classification by adapting a classifier trained on samples from a source
Thus we can employ the pro- posed P-Linkage clustering method on the segmentation of point clouds, which differs from that on the 2D data points in three as- pects: (1) the
First, we rotate the original images to multiple angles, here it was from -90 to 90 with a step of 20, and then fixed the orienta- tion of each keypoint to 0 so that the same
In method OS (Osendorfer et al., 2013), a descriptor learning architecture based on a Siamese CNN similar to our work was used, but the authors concentrated more on
We present a comparison of point cloud generation and quality of data acquired by Zebedee (Zeb1) and Leica C10 devices which are used in the same building interior.. Both sensor
