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MULTI-OBJECTIVE GENETIC ALGORITHM FOR EFFICIENT POINT MATCHING IN MULTI-SENSOR SATELLITE IMAGE

Senthilnath, J and Omkar, SN and Mani, V and Kalro, Naveen P and Diwakar, PG (2012) MULTI-OBJECTIVE GENETIC ALGORITHM FOR EFFICIENT POINT MATCHING IN MULTI-SENSOR SATELLITE IMAGE. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), JUL 22-27, 2012 , Munich, GERMANY, pp. 1761-1764.

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Official URL: http://dx.doi.org/10.1109/IGARSS.2012.6351175

Abstract

This paper investigates a new approach for point matching in multi-sensor satellite images. The feature points are matched using multi-objective optimization (angle criterion and distance condition) based on Genetic Algorithm (GA). This optimization process is more efficient as it considers both the angle criterion and distance condition to incorporate multi-objective switching in the fitness function. This optimization process helps in matching three corresponding corner points detected in the reference and sensed image and thereby using the affine transformation, the sensed image is aligned with the reference image. From the results obtained, the performance of the image registration is evaluated and it is concluded that the proposed approach is efficient.

Item Type: Conference Paper
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Additional Information: Copyright for this article belongs to IEEE, NEW YORK.
Keywords: Multi-sensor image registration;Multi-objective optimization;Genetic algorithm
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering (Formerly, Aeronautical Engineering)
Date Deposited: 15 Mar 2013 12:31
Last Modified: 15 Mar 2013 12:31
URI: http://eprints.iisc.ernet.in/id/eprint/46093

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