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Proceedings Paper

Aerial image geolocalization by matching its line structure with route map
Author(s): I. A. Kunina; A. P. Terekhin; T. M. Khanipov; E. G. Kuznetsova; D. P. Nikolaev
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Paper Abstract

The classic way of aerial photographs geolocation is to bind their local coordinates to a geographic coordinate system using GPS and IMU data. At the same time the possibility of geolocation in a jammed navigation field is also of interest for practical purposes. In this paper we consider one approach to visual localization relatively to a vector road map without GPS. We suggest a geolocalization algorithm which detects image line segments and looks for a geometrical transformation which provides the best mapping between the obtained segments set and line segments in the road map. We consider IMU and altimeter data still known which allows to work with orthorectified images. The problem is hence reduced to a search for a transformation which contains an arbitrary shift and bounded rotation and scaling relatively to the vector map. These parameters are estimated using RANSAC by matching straight line segments from the image to vector map segments. We also investigate how the proposed algorithm’s stability is influenced by segment coordinates (two spatial and one angular).

Paper Details

Date Published: 17 March 2017
PDF: 7 pages
Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103412A (17 March 2017); doi: 10.1117/12.2268612
Show Author Affiliations
I. A. Kunina, Institute for Information Transmission Problems (Russian Federation)
A. P. Terekhin, Institute for Information Transmission Problems (Russian Federation)
T. M. Khanipov, Institute for Information Transmission Problems (Russian Federation)
E. G. Kuznetsova, Institute for Information Transmission Problems (Russian Federation)
D. P. Nikolaev, Institute for Information Transmission Problems (Russian Federation)


Published in SPIE Proceedings Vol. 10341:
Ninth International Conference on Machine Vision (ICMV 2016)
Antanas Verikas; Petia Radeva; Dmitry P. Nikolaev; Wei Zhang; Jianhong Zhou, Editor(s)

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