A Method Based on Prior Information of Feature Points Registration for SAR Images

DOI

10.2991/icamcs-16.2016.65How to use a DOI?

Keywords

SAR images, Sequence registration, Prior information, SIFT algorithm.

Abstract

The concept of moving target detection is monitoring and detecting the moving target in the target area, achieving the goal of monitoring the target area all-day and all-weather. During the process of monitoring, the multi-frame SAR images which get from the same scenario need to be registered. The Range Doppler equations are used to obtain the location model of SAR images in this paper, combing the SIFT algorithm with the prior information. Firstly, the SIFT is used to extract the feature points. Secondly, the prior information is used to achieve the regional division of the feature points. Finally, the nearest neighbor matching rule is used to match the targets in the candidate target region. The prior information of SAR images is fully used in this method. In this way, the matching search range is reduced and the efficiency of matching algorithm is improved. Real data simulations prove that this algorithm is feasible.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dekun Li
AU  - Pingyan Shi
AU  - Xiaomin Tan
PY  - 2016/06
DA  - 2016/06
TI  - A Method Based on Prior Information of Feature Points Registration for SAR Images
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 306
EP  - 311
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.65
DO  - 10.2991/icamcs-16.2016.65
ID  - Li2016/06
ER  -