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A method for remote sensing image restoration using gyroscope sensor

机译:一种利用陀螺仪传感器进行遥感图像复原的方法

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Fast image restoration for blurred remote sensing image is one of the focus problem in optical image processing. We present a method for remote sensing image restoration using a gyroscope sensor mounted with the camera. With motion track of the camera obtained from gyroscope sensor, we get a better PSF(Point Spread Function) estimation by calibrating the camera. Then we use the TV regularization to solve this non-blind deconvolution which runs faster than blind deconvolution. In experiments, we established a platform to simulate the vibration of satellite and get the synchronized gyroscope data in the exposure time, then we compare our restoration results with ground truth. Our experiments show that, the method has a good performance for blurred image caused by vibration of image system.
机译:用于模糊遥感图像的快速图像恢复是光学图像处理中的焦点问题之一。我们提出了一种使用安装在相机上的陀螺仪传感器进行遥感图像恢复的方法。利用从陀螺仪传感器获得的摄像机的运动轨迹,我们可以通过对摄像机进行校准来获得更好的PSF(点扩展函数)估计。然后,我们使用电视正则化来解决这种非盲反卷积,其运行速度比盲反卷积更快。在实验中,我们建立了一个平台,可以模拟卫星的振动,并在曝光时间内获得同步的陀螺仪数据,然后将恢复结果与地面真实情况进行比较。实验表明,该方法对于图像系统振动引起的图像模糊具有良好的性能。

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