ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Multi-objective optimization of satellite image registration using discrete Pparticle swarm optimisation

Senthilnath, J and Omkar, SN and Mani, V and Karthikeyan, T (2011) Multi-objective optimization of satellite image registration using discrete Pparticle swarm optimisation. In: 2011 Annual IEEE India Conference (INDICON), 16-18 Dec. 2011, Hyderabad.

[img] PDF
Ind_Con_1_2011.pdf - Published Version
Restricted to Registered users only

Download (440Kb) | Request a copy
Official URL: http://dx.doi.org/10.1109/INDCON.2011.6139338

Abstract

A new multi-sensor image registration technique is proposed based on detecting the feature corner points using modified Harris Corner Detector (HDC). These feature points are matched using multi-objective optimization (distance condition and angle criterion) based on Discrete Particle Swarm Optimization (DPSO). This optimization process is more efficient as it considers both the distance and angle criteria to incorporate multi-objective switching in the fitness function. This optimization process helps in picking up three corresponding corner points detected in the sensed and base image and thereby using the affine transformation, the sensed image is aligned with the base image. Further, the results show that the new approach can provide a new dimension in solving multi-sensor image registration problems. From the obtained results, the performance of image registration is evaluated and is concluded that the proposed approach is efficient.

Item Type: Conference Proceedings
Related URLs:
Additional Information: Copyright of this article belongs to the IEEE.
Keywords: Discrete Particle Swarm Optimization; Modified Harris Corner Detection; Multi-Sensor Image
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering (Formerly, Aeronautical Engineering)
Date Deposited: 02 May 2013 09:56
Last Modified: 02 May 2013 09:56
URI: http://eprints.iisc.ernet.in/id/eprint/46287

Actions (login required)

View Item View Item