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http://dx.doi.org/10.7780/kjrs.2012.28.2.181

Brightness Value Comparison Between KOMPSAT-2 Images with IKONOS/GEOEYE-1 Images  

Kim, Hye-On (Image Engineering lab, Inha University)
Kim, Tae-Jung (Image Engineering lab, Inha University)
Lee, Hyuk (Water Quality Control Center, National Institute of Environmental Research)
Publication Information
Korean Journal of Remote Sensing / v.28, no.2, 2012 , pp. 181-189 More about this Journal
Abstract
Recently, interest in potential for estimating water quality using high resolution satellite images is increasing. However, low SNR(Signal to Noise Ratio) over inland water and radiometric errors such as non-linearity of brightness value of high resolution satellite images often lead to accuracy degradation in water quality estimation. Therefore radiometric correction should be carried out to estimate water quality for high resolution satellite images. For KOMPSAT-2 images parameters for brightness value-radiance conversion are not available and precise radiometric correction is difficult. To exploit KOMPSAT-2 images for water quality monitoring, it is necessary to investigate non-linearity of brightness value and noise over inland water. In this paper, we performed brightness value comparison between KOMPSAT-2 images and IKONOS/GeoEye-1, which are known to show the linearity. We used the images obtained over the same area and on the same date for comparison. As a result, we showed that although KOMPSAT-2 images are more noisy;the trend of brightness value and pattern of noise are almost similar to reference images. The results showed that appropriate target area to minimize the impact of noise was $5{\times}5$. Non-linearity of brightness value between KOMPSAT-2 and reference images was not observed. Therefore we could conclude that KOMPSAT-2 may be used for estimation of water quality parameters such as concentration of chlorophyll.
Keywords
KOMPSAT-2; Water quality monitoring; Brightness value comparison; Non-linearity;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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