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Sensors 2015, 15(3), 5649-5665; doi:10.3390/s150305649

An Efficient Mosaic Algorithm Considering Seasonal Variation: Application to KOMPSAT-2 Satellite Images

1
The Department of Geoinformatics, The University of Seoul, Seoul 130-743, Korea
2
The Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Assefa M. Melesse
Received: 20 November 2014 / Revised: 23 February 2015 / Accepted: 3 March 2015 / Published: 9 March 2015
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [11993 KB, uploaded 9 March 2015]   |  

Abstract

As the aerospace industry grows, images obtained from Earth observation satellites have been successfully used in various fields. Specifically, the demand for a high-resolution (HR) optical images is gradually increasing, and hence the generation of a high-quality mosaic image is being magnified as an interesting issue. In this paper, we have proposed an efficient mosaic algorithm for HR optical images that are significantly different due to seasonal change. The algorithm includes main steps such as: (1) seamline extraction from gradient magnitude and seam images; (2) histogram matching; and (3) image feathering. Eleven Kompsat-2 images characterized by seasonal variations are used for the performance validation of the proposed method. The results of the performance test show that the proposed method effectively mosaics Kompsat-2 adjacent images including severe seasonal changes. Moreover, the results reveal that the proposed method is applicable to HR optic images such as GeoEye, IKONOS, QuickBird, RapidEye, SPOT, WorldView, etc. View Full-Text
Keywords: high-resolution optical satellite imagery; Kompsat-2; seasonal characteristics; seamlines; feathering algorithm high-resolution optical satellite imagery; Kompsat-2; seasonal characteristics; seamlines; feathering algorithm
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Choi, J.; Jung, H.-S.; Yun, S.-H. An Efficient Mosaic Algorithm Considering Seasonal Variation: Application to KOMPSAT-2 Satellite Images. Sensors 2015, 15, 5649-5665.

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