Simulation of remote sensing imaging motion blur based on image motion vector field

Huijie Zhao; Hong Shang; Guorui Jia

doi:10.1117/1.JRS.8.083539

29 October 2014 Simulation of remote sensing imaging motion blur based on image motion vector field

Huijie Zhao, Hong Shang, Guorui Jia

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 8, Issue 1, 083539 (October 2014). https://doi.org/10.1117/1.JRS.8.083539

Abstract

The motion blur simulation technique is widely used in remote sensing of an image chain simulation. However, the traditional method, which models the motion blur through a point spread function (PSF), is not precise enough when the imaging area is rugged or the motion of the platform is unstable. A physically based simulation model of motion blur is proposed. The model uses an image motion vector (IMV) field to describe the relative motion presented on the image plane during the exposure time. Based on the IMV field, the opto-electrons blurring model is built to simulate the blurring effect. A physical experiment was made to validate the model. The experiment result demonstrates that the simulation result generated by the model provided is more precise than the traditional PSF method, and a more complex motion status can be presented by the proposed method.

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Huijie Zhao, Hong Shang, and Guorui Jia "Simulation of remote sensing imaging motion blur based on image motion vector field," Journal of Applied Remote Sensing 8(1), 083539 (29 October 2014). https://doi.org/10.1117/1.JRS.8.083539

Published: 29 October 2014

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