Precise geometric correction of LANDSAT-8 images based on Kalman filter

Shanshan Li; Shaofeng Guo; An Li

doi:10.1117/12.2067080

23 October 2014 Precise geometric correction of LANDSAT-8 images based on Kalman filter

Shanshan Li, Shaofeng Guo, An Li

Author Affiliations +

Proceedings Volume 9244, Image and Signal Processing for Remote Sensing XX; 92441K (2014) https://doi.org/10.1117/12.2067080
Event: SPIE Remote Sensing, 2014, Amsterdam, Netherlands

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.

Citation Download Citation

Shanshan Li, Shanshan Li, Shaofeng Guo, Shaofeng Guo, An Li, 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); doi: 10.1117/12.2067080; https://doi.org/10.1117/12.2067080

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