Norbert Pfeifer

TL;DR: In this paper , the authors show that transaction data for newly-built properties lag behind actual market developments as prices are typically set months or years before transactions are formalized, and that the timeliness issue disappears when preliminary agreements on new builds are used instead of transactions in the compilation of an HPI.

TL;DR: In this article, 3D central lines of Crassostrea gryphoides oysters of various shapes and sizes were computed using high resolution orthophoto (0.5 mm) and digital surface models.

TL;DR: The proposed method for instance segmentation of individual grains from a terrestrial laser scanning point cloud representing a mountain river bed is designed as a classification followed by a segmentation approach and proved that it is robust to the shadowing effect.

TL;DR: This work presents an approach which extracts quality figures for point density, point distribution, point cloud planarity, image resolution, and street sign legibility for mobile mapping systems and proves to fulfill the above requirements.

TL;DR: This method to automatically extent a small set of training data by label propagation processing is presented and it is shown that this approach is stable regardless of the number of initial training points, and achieve better improvements especially stating with an extremely small initial training set.