Paper
3 October 2011 A study of calibration KOMPSAT-2 image by relative radiometric calibration
Cheung Gil Jin, Ho Yong Ahn, Sun Gu Lee, Chul Uong Choi
Author Affiliations +
Abstract
The purpose of this paper is to ensure the reliability of the standard images from KOMPSAT-2 and the various kinds of thematic information additionally generated by the images by means of empirical relative radiometric correction. For this purpose, it examines the similarity between wave-length bands of KOMPSAT-2 and Landsat-7 ETM+, gathers their images which are taken within 5 days earlier to perform the ortho-rectification and the radiometric correction. And it performs the empirical relative radio correction in which a linear correlation is derived from radiance and then it is applied to the images from KOMPSAT-2. As a result, the wave-length similarity of the blue band is low: 0.52; that in other bands shows high rate of concordance: 0.82 or higher. And the RGB images expressed in radiance show little change between before and after correction. According to the calculation of the index of vegetation by using reflectivity, the correlation of the NDVI images in January 2008 increases from 0.004 before correction to 0.8964 after correction; that in November 2008 increases from 0.1717 before correction to 0.7964 after correction; the correlation of the SR in January 2008 images increases from 0.0357 before correction to 0.8876 after correction; that in November 2008 increases from 0.0003 to 0.8083. Thus, it is judged that using the images from Landsat-7 ETM+ for the relative radiometric correction of the images from KOMPSAT-2 can contribute to ensuring their reliability.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cheung Gil Jin, Ho Yong Ahn, Sun Gu Lee, and Chul Uong Choi "A study of calibration KOMPSAT-2 image by relative radiometric calibration", Proc. SPIE 8176, Sensors, Systems, and Next-Generation Satellites XV, 817624 (3 October 2011); https://doi.org/10.1117/12.896320
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KEYWORDS
Calibration

Earth observing sensors

Landsat

Satellites

Vegetation

Satellite imaging

Image processing

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