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Improving semantic orthophotos by a fast method based on harmonic inpainting

: Kottler, Benedikt; Bulatov, Dimitri; Schilling, Hendrik

Fulltext urn:nbn:de:0011-n-4265723 (6.6 MByte PDF)
MD5 Fingerprint: fb11f9ce4ecdb3be405f2fcad4ed5771
Created on: 4.1.2017

Michaelsen, E. ; International Association for Pattern Recognition -IAPR-; Institute of Electrical and Electronics Engineers -IEEE-:
9th IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2016 : 4 December 2016, Cancun
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-5090-5041-3
ISBN: 978-1-5090-5042-0
5 pp.
Workshop on Pattern Recognition in Remote Sensing (PRRS) <9, 2016, Cancun>
Conference Paper, Electronic Publication
Fraunhofer IOSB ()

Context-based modeling of 3D urban terrain has become increasingly popular in the last two decades. Typically, orthophotos are used for texturing ground. In order to increase locational awareness, it is useful to eliminate from the orthophotos those object instances which frequently appear and disappear in the terrain. Vehicles are good examples of such instances. Assuming that vehicles were detected at a previous stage of the algorithm, we developed a simple, easily parallelizable procedure on orthophoto inpainting while considering classes of the surrounding objects. This is done by reducing the weights of pixels which should not be used for inpainting. The benefits of our approach are demonstrated for two datasets by comparison with a state-of-the-art method and by integrating the corrected orthophoto into the already existing urban terrain model which moreover includes the ground surface as well as 3D models of buildings, trees and vehicles.