Towards an Automated System for Reverse Geocoding of Aerial Photographs

Christoph Praschl, Michael Franz Stradner, Yuta Ono, Gerald Adam Zwettler

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review


Aerial photographs of buildings are often used as memorabilia sold by trading companies. Such photographs come with an issue regarding the address of the shown buildings, since the recording location of the camera may be known, but shows a spatial distance to the actual subject of the image. In addition to that, also this recording location is often not known in detail but only roughly in the form of the flight route/area. To address this problem, a methodology for reverse geocoding is proposed, allowing to identify the position of buildings that are photographed from aerial vehicles. This is done using a process for extending recording locations and a second process based on the registration of invariant features within aerial shots compared to maps.
Original languageGerman (Austria)
Title of host publication30th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2022 - Proceedings
Number of pages6
Publication statusPublished - 18 May 2022

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