An effective histogram binning for mutual information based registration of optical imagery and 3D LiDAR data

Ghanbari Parmehr, E, Fraser, C, Zhang, C and Leach, J 2013, 'An effective histogram binning for mutual information based registration of optical imagery and 3D LiDAR data', in B. Lovell and D. Suter (ed.) Proceedings of 2013 IEEE International Conference on Image Processing, Melbourne, Australia, 15-18 September 2013, pp. 1286-1290.


Document type: Conference Paper
Collection: Conference Papers

Title An effective histogram binning for mutual information based registration of optical imagery and 3D LiDAR data
Author(s) Ghanbari Parmehr, E
Fraser, C
Zhang, C
Leach, J
Year 2013
Conference name ICIP 2013
Conference location Melbourne, Australia
Conference dates 15-18 September 2013
Proceedings title Proceedings of 2013 IEEE International Conference on Image Processing
Editor(s) B. Lovell and D. Suter
Publisher IEEE
Place of publication United States
Start page 1286
End page 1290
Total pages 5
Abstract Automatic registration of multi-sensor data is a basic step in data fusion applications. Mutual information (MI) has been widely used in medical and remote sensing image registration. In this paper, an effective histogram binning technique is proposed to improve the robustness of image registration using MI and Normalized MI (NMI). Increasing the bin size improves the robustness of MI to local maxima that occur in the convergence surface of MI. In addition, the computation cost of registration is decreased due to use of a smaller joint pdf, without decreasing the accuracy. The performance of the proposed method in the registration of aerial imagery with LiDAR data has been experimentally evaluated and the results obtained are presented.
Subjects Geospatial Information Systems
Photogrammetry and Remote Sensing
Keyword(s) Mutual information
registration
LiDAR
optical imagery
Copyright notice © 2013 by the Institute of Electrical and Electronics Engineers Inc
ISBN 9781479923410
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