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  4. Performance evaluation of image-based location recognition approaches based on large-scale UAV imagery
 
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2014
Conference Paper
Title

Performance evaluation of image-based location recognition approaches based on large-scale UAV imagery

Abstract
Recognizing the location where an image was taken, solely based on visual content, is an important problem in computer vision, robotics and remote sensing. This paper evaluates the performance of standard approaches for location recognition when applied to large-scale aerial imagery in both electro-optical (EO) and infrared (IR) domains. We present guidelines towards optimizing the performance and explore how well a standard location recognition system is suited to handle IR data. We show on three datasets that the performance of the system strongly increases if SIFT descriptors computed on Hessian-Affine regions are used instead of SURF features. Applications are widespread and include vision-based navigation, precise object geo-referencing or mapping.
Author(s)
Hesse, Nikolas  
Bodensteiner, Christoph  
Arens, Michael  
Mainwork
Electro-Optical Remote Sensing, Photonic Technologies, and Applications VIII and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing II  
Conference
Conference "Electro-Optical Remote Sensing, Photonic Technologies, and Applications" 2014  
Conference "Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing" 2014  
File(s)
Download (690.65 KB)
Rights
Use according to copyright law
DOI
10.24406/publica-r-385375
10.1117/12.2067179
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • location recognition

  • image retrieval

  • remote sensing

  • UAV imagery

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