Senthilnath, J and Omkar, SN and Mani, V and Karthikeyan, T (2013) Multiobjective discrete particle swarm optimization for multisensor image alignment. In: IEEE Geoscience and Remote Sensing Letters, 10 (5). pp. 1095-1099.
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A new technique is proposed for multisensor image registration by matching the features using discrete particle swarm optimization (DPSO). The feature points are first extracted from the reference and sensed image using improved Harris corner detector available in the literature. From the extracted corner points, DPSO finds the three corresponding points in the sensed and reference images using multiobjective optimization of distance and angle conditions through objective switching technique. By this, the global best matched points are obtained which are used to evaluate the affine transformation for the sensed image. The performance of the image registration is evaluated and concluded that the proposed approach is efficient.
|Item Type:||Journal Article|
|Additional Information:||Copyright of this article belongs to IEEE-Inst Electrical Electronics Engineers Inc.|
|Keywords:||Discrete Particle Swarm Optimization (DPSO); Multiobjective Optimization; Multisensor Image Registration|
|Department/Centre:||Division of Mechanical Sciences > Aerospace Engineering (Formerly, Aeronautical Engineering)|
|Date Deposited:||02 Sep 2013 06:14|
|Last Modified:||02 Sep 2013 06:14|
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