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23 October 2014Precise geometric correction of LANDSAT-8 images based on Kalman filter
In the paper, precise geometric correction of Landsat-8 images based on Kalman filter with ground control points (GCPs)
is described. The matching pixels, GCPs and systematic correction image are integrated to estimate the errors of the
position, velocity and attitude of the Landsat-8 satellite. Kalman filter was used for the optimal solution. Experiments
demonstrate that comparable accuracy could be reached applying Kalman filter in the purpose of precision mapping
using fewer GCPs when comparing to the least-square iteration method.
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Shanshan Li, Shaofeng Guo, An Li, "Precise geometric correction of LANDSAT-8 images based on Kalman filter," Proc. SPIE 9244, Image and Signal Processing for Remote Sensing XX, 92441K (23 October 2014); https://doi.org/10.1117/12.2067080