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

Choi, Jaewon; Jung, Hyung-Sup; Yun, Sang-Ho

doi:10.3390/s150305649

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

Sensors, v.15 no.3, 2015년, pp.5649 - 5665

Choi, Jaewon (The Department of Geoinformatics, The University of Seoul, Seoul 130-743, Korea) , Jung, Hyung-Sup (E-Mail: jwchoi74@uos.ac.kr) , Yun, Sang-Ho (The Department of Geoinformatics, The University of Seoul, Seoul 130-743, Korea)

Abstract ▼ AI-Helper

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.

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참고문헌 (17)

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

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

Abstract ▼ AI-Helper

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