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  • Received: May. 3, 2013

    Accepted: --

    Posted: Jan. 1, 2014

    Published Online: Jan. 2, 2014

    The Author Email: Li Chen (qwwz0000@sina.com)

    DOI: 10.3788/aos201434.0128004

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    Chen Li, Liu Zhiming, Wang Longqi, Huang Pu, Xiu Jihong. Research on Image Smear and Distortion Compensation in Panoramic Aerial Camera[J]. Acta Optica Sinica, 2014, 34(1): 128004

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Acta Optica Sinica, Vol. 34, Issue 1, 128004 (2014)

Research on Image Smear and Distortion Compensation in Panoramic Aerial Camera

Li Chen1,*, Zhiming Liu1,2, Longqi Wang1, Pu Huang1, and Jihong Xiu1

Author Affiliations

  • 1[in Chinese]
  • 2[in Chinese]

Abstract

In panoramic aerial camera pendulum sweep imaging process, the dithery scanning mirror position caused by the incomplete isolation of airborne vibration environment, causes a shaking of the visual axis, which makes the image in the sweep direction produce distortion and smear. Aiming at the above problem, the geometric model is established among flight speed, altitude, target level angle and pitching axis speed compensation, with which the causes of the disturbances of image distortion and the influence of compensation precision on image smear pitching axis degree are analyzed. Through the model establishment and parameter analysis, the pitching axis control system dynamics and steady-state performance and robustness requirements are obtained. Laboratory dynamic target generator and parallel light pipe model are used to simulate the relative movement between camera and objects so as to test the precision of the control system. The exterior image in the vibration surroundings is used to test the disturbance compensation performance of the control system. Experiment results show that the steady speed error of pitching axis control system is less than 0.005°/s, that almost completely suppresses the image smear phenomenon; the speed compensation residual error under 7 Hz disturbance signal is less than 0.1°/s, and the system can effectively compensate the disturbance caused by the image distortions.

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