Please use this identifier to cite or link to this item:
Title: Multiobjective discrete particle swarm optimization for multisensor image alignment
Authors: Senthilnath, J.
Omkar, S.N.
Mani, V.
Karthikeyan, T.
Issue Date: 2013
Citation: IEEE Geoscience and Remote Sensing Letters, 2013, Vol.10, 5, pp.1095-1099
Abstract: 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. 2004-2012 IEEE.
Appears in Collections:1. Journal Articles

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.