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http://dx.doi.org/10.7780/kjrs.2021.37.6.3.3

A Study to Improve the Accuracy of Segmentation and Classification of Mosaic Images over the Korean Peninsula  

Moon, Jiyoon (Korea Aerospace Research Institute)
Lee, Kwang Jae (Korea Aerospace Research Institute)
Publication Information
Korean Journal of Remote Sensing / v.37, no.6_3, 2021 , pp. 1943-1949 More about this Journal
Abstract
In recent years, as the demand of high-resolution satellite images increases due to the miniaturization and constellation of satellites, various efforts to support users to utilize satellite images more conveniently are performed. Accordingly, the Korea Aerospace Research Institute produces and provides mosaic images on the Korean Peninsula every year to improve the convenience of users in the public sector and activate the use of satellite images. In order to increase the utilization of mosaic images on the Korean Peninsula, a study on satellite image segmentation and classification using mosaic images was attempted. However, since mosaic images provide only R, G, and B bands and processes such as image sharpening and color balancing are applied, there is a limitation that the spectral information of original images is distorted, so various indices were extracted and classified using R, G, and B bands to compensate for this. As a result of the study, the accuracy of image classification results using only mosaic images was about 72%, while the accuracy of image classification results using indices extracted from R, G, and B bands together was about 79%. Through this, it was confirmed that when performing image classification using mosaic images on the Korean Peninsula, the image classification results can be improved if the indices extracted from R, G, and B bands are used together. These research results are expected to be applied not only to mosaic images but also to images in which spectral information is limited or only R, G, and B bands are provided.
Keywords
RGB; mosaic image; classification; segmentation; KOMPSAT;
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