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Proceedings Paper

Precise geometric correction of LANDSAT-8 images based on Kalman filter
Author(s): Shanshan Li; Shaofeng Guo; An Li
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Paper Abstract

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.

Paper Details

Date Published: 23 October 2014
PDF: 6 pages
Proc. SPIE 9244, Image and Signal Processing for Remote Sensing XX, 92441K (23 October 2014); doi: 10.1117/12.2067080
Show Author Affiliations
Shanshan Li, Institute of Remote Sensing and Digital Earth (China)
Shaofeng Guo, Institute of Remote Sensing and Digital Earth (China)
An Li, Institute of Remote Sensing and Digital Earth (China)


Published in SPIE Proceedings Vol. 9244:
Image and Signal Processing for Remote Sensing XX
Lorenzo Bruzzone, Editor(s)

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