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http://dx.doi.org/10.7780/kjrs.2020.36.6.2.5

A Study on the Seamline Estimation for Mosaicking of KOMPSAT-3 Images  

Kim, Hyun-ho (National Satellite Operation & Application Center, Korea Aerospace Research Institute)
Jung, Jaehun (National Satellite Operation & Application Center, Korea Aerospace Research Institute)
Lee, Donghan (National Satellite Operation & Application Center, Korea Aerospace Research Institute)
Seo, Doochun (National Satellite Operation & Application Center, Korea Aerospace Research Institute)
Publication Information
Korean Journal of Remote Sensing / v.36, no.6_2, 2020 , pp. 1537-1549 More about this Journal
Abstract
The ground sample distance of KOMPSAT-3 is 0.7 m for panchromatic band, 2.8 m for multi-spectral band, and the swath width of KOMPSAT-3 is 16 km. Therefore, an image of an area wider than the swath width (16 km) cannot be acquired with a single scanning. Thus, after scanning multiple areas in units of swath width, the acquired images should be made into one image. At this time, the necessary algorithm is called image mosaicking or image stitching, and is used for cartography. Mosaic algorithm generally consists of the following 4 steps: (1) Feature extraction and matching, (2) Radiometric balancing, (3) Seamline estimation, and (4) Image blending. In this paper, we have studied an effective seamline estimation method for satellite images. As a result, we can estimate the seamline more accurately than the existing method, and the heterogeneity of the mosaiced images was minimized.
Keywords
Remote sensing; Image mosaicking; Image stitching; Seamline estimation; KOMPSAT-3;
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