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A Test Result on the Positional Accuracy of Kompsat-3A Beta Test Images
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 Title & Authors
A Test Result on the Positional Accuracy of Kompsat-3A Beta Test Images
Oh, Jae Hong; Seo, Doo Chun; Lee, Chang No;
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 Abstract
KOMPSAT-3A (KOrea Multi-Purpose SATellite-3A) was launched in March 25 2015 with specification of 0.5 meters resolution panchromatic and four 2.2 meters resolution multi spectral sensors in 12km swath width at nadir. To better understand KOMPSAT-3A positional accuracy, this paper reports a test result on the accuracy of recently released KOMPSAT-3A beta test images. A number of ground points were acquired from 1:1,000 digital topographic maps over the target area for the accuracy validation. First, the original RPCs (Rational Polynomial Coefficients) were validated without any GCPs (Ground Control Points). Then we continued the test by modeling the errors in the image space using shift-only, shift and drift, and the affine model. Ground restitution accuracy was also analyzed even though the across track image pairs do not have optimal convergence angle. The experimental results showed that the shift and drift-based RPCs correction was optimal showing comparable accuracy of less than 1.5 pixels with less GCPs compared to the affine model.
 Keywords
Kompsat-3A;Positional Accuracy;RPCs;High-resolution Satellite Images;GCPs;
 Language
English
 Cited by
1.
Orthorectification of KOMPSAT Optical Images Using Various Ground Reference Data and Accuracy Assessment, Journal of Sensors, 2017, 2017, 1687-7268, 1  crossref(new windwow)
 References
1.
Aguilar, M.A., Aguilar, F.J., Saldana, M.M., and Fernandez, I. (2012), Geopositioning accuracy assessment of GeoEye-1 panchromatic and multispectral imagery, Photogrammetric Engineering & Remote Sensing, Vol. 78, No. 3, pp. 247-257. crossref(new window)

2.
Fraser, C.S. and Hanley, H.B. (2005), Bias-compensated RPCs for sensor orientation of high-resolution satellite imagery, Photogrammetric Engineering & Remote Sensing, Vol. 71, No. 8, pp. 909-915. crossref(new window)

3.
Fraser, C.S. and Ravanbakhsh, M. (2011), Precise georefrencing of long strips of ALOS imagery, Photogrammetric Engineering & Remote Sensing, Vol. 77, No. 1, pp. 87-100. crossref(new window)

4.
Grodecki, J. (2001), IKONOS stereo feature extraction – RPC approach, Proceedings of ASPRS 2001 Annual Convention, ASPRS, 25–27 April, St. Louis, Missouri, unpaginated CD-ROM.

5.
Lee, J.S. and Kwon, J.H. (2015), Construction and precision verification of Korean national geoid model KNGoid14, Conference of Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography, 23-24 April, Changwon, Korea, pp. 177-179. (in Korean with English abstract)

6.
Oh, J.H., Lee, C.N., and Seo, D.C. (2011), A test result on positional accuracy of Kompsat-2 pan imagery, Proceedings of ASPRS 2011 Annual Conference, 1-5 May, Milwaukee, Wisconsin, pp. 378-386.

7.
Oh, J.H., Lee, W.H., Toth, C.K., Grejner-Brzezinska, D.A., and Lee, C.H. (2010), A piecewise approach to epipolar resampling of pushbroom satellite images based on RPC, Photogrammetric Engineering & Remote Sensing, Vol. 76, No. 12, pp. 1353-1363. crossref(new window)

8.
Seo, D.C., Hong, G.B., and Jin, C.G. (2015), Kompsat-3A direct georeferencing mode and geometric calibration/validation, Proceedings of the 36th Asian Conference on Remote Sensing, 19-23 Oct, Quezon City, Metro Manila, Philippines, http://a-a-r-s.org/acrs/administrator/components/com_jresearch/files/publications/TUP1-48.pdf (last date accessed: 23 March 2016).