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.
Highlights
Korea is enforcing the 1st National Aerospace Development Mid & Long Term Plan from 1995 to2015
The objective of this research is to propose an optimal mosaic procedure for the mosaic of images obtained from different seasons through finding the combination of suitable functions
Using eleven high-resolution Kompsat-2 satellite images, we demonstrate the performance of our algorithm in the presence of seasonal changes in mountainous terrains
Summary
Korea is enforcing the 1st National Aerospace Development Mid & Long Term Plan from 1995 to. Following this plan, Korea is developing a systematic strategy and a multipurpose satellite series (e.g., Kompsat 1, 2, 3 and 5), which have high-spatial-resolution optical sensors and X-band Synthetic. Aperture Radar (SAR) sensors, for comprehensive risk assessments and to form a better-informed land use plan. The Ministry of Education (MOE) is contributing significantly to Korea’s development of the national aerospace policy and the utilization of high quality information from satellite remote sensing. The successful launch of the Kompsat series (e.g., Kompsat 3 and 5), which have sub-meter spatial resolutions and X-band SAR sensors, increased the supply of data to international and federal, regional, state and local users.
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