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http://dx.doi.org/10.7780/kjrs.2022.38.6.4.8

A Study to Improve the Classification Accuracy of Mosaic Image over Korean Peninsula: Using PCA and RGB Indices  

Moon, Jiyoon (Satellite Information Application Division, Korea Aerospace Research Institute)
Lee, Kwangjae (Satellite Information Application Division, Korea Aerospace Research Institute)
Publication Information
Korean Journal of Remote Sensing / v.38, no.6_4, 2022 , pp. 1945-1953 More about this Journal
Abstract
Korea Aerospace Research Institute produces mosaic images of the Korean Peninsula every year to promote the use of satellite images and provides them to users in the public sector. However, since the pan-sharpening and color balancing methodologies are applied during the mosaic image processing, the original spectral information is distorted. In addition, there is a limit to analyze using mosaic images as mosaic images provide only Red, Green and Blue bands excluding Near Infrared (NIR) band. Therefore, in order to compensate for these limitations, this study applied the Principal Component Analysis (PCA) technique and indices extracted from R, G, B bands together for image classification and compared the classification results. As a result of the analysis, the accuracy of the mosaic image classification result was about 67.51%, while the accuracy of the image classification result using both PCA and RGB indices was about 75.86%, confirming that the accuracy of the image classification result can be improved. As a result of comparing the PCA and the RGB indices, the accuracy of the image classification result was about 64.10% and 74.05% respectively. Through this, it was confirmed that the classification accuracy using the RGB indices was higher among the two techniques, and implications were derived that it was important to use high quality reference or supplementary data. In the future, additional indices and techniques are needed to improve the classification and analysis results of mosaic images, and related research is expected to increase the utilization of images that provide only R, G, B or limited spectral information.
Keywords
KOMPSAT; Mosaic image; Classification; PCA; RGB;
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