Paper
15 March 2019 Matching of SAR and optical images by independent referencing to vector map
Author Affiliations +
Proceedings Volume 11041, Eleventh International Conference on Machine Vision (ICMV 2018); 1104102 (2019) https://doi.org/10.1117/12.2523132
Event: Eleventh International Conference on Machine Vision (ICMV 2018), 2018, Munich, Germany
Abstract
The proposed algorithm matches local coordinates of each image with coordinates of the map by extracting roads’ line segments from the image and finding geometric transformation successfully matching the roads’ segments and the map’s ones. Parameters estimation is based on RANSAC algorithm which analyses the segments’ location and orientation.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
I. Kunina, E. Panfilova, and A. Gladkov "Matching of SAR and optical images by independent referencing to vector map", Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 1104102 (15 March 2019); https://doi.org/10.1117/12.2523132
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Roads

Synthetic aperture radar

Image processing algorithms and systems

Image fusion

Image filtering

Sensors

Data conversion

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