Vibration detection and remote sensing image recovery method based on single-exposure video reconstruction

Abstract

The invention provides a vibration detection and remote sensing image recovery method based on single-exposure video reconstruction. The method includes the steps of dividing the exposure time into a plurality of equal time durations, conducting encoding exposure on each pixel of a plurality of small blocks at the edge of a detector according to the single-exposure video reconstruction method based on the compression sensing principle to obtain modulated blurred image blocks, reconstructing a clear video image through a reconstruction algorithm, estimating inter-frame image motion according to the reconstructed video image, estimating a point spread function, finally conducting deconvolution on unmodulated blurred images through the point spread function, eliminating the vibration influences of a platform, and obtaining a clear remote sensing image. By means of the method, the problems that a traditional image deblurring method based on compression sensing is long in time and high in complexity are solved, and instantaneity is better achieved; meanwhile, compared with an ordinary blind restoration method, the method has higher restoration accuracy.

Description

technical field [0001] The invention relates to a method for camera chatter detection and high-resolution remote sensing image restoration based on single-exposure video reconstruction. Background technique [0002] In remote sensing imaging, the clarity of images is very important, so how to obtain high-resolution images has very important practical significance. However, during the imaging process of the space camera, due to factors such as satellite attitude changes, disturbances of flexible components, and pointing control, the satellite platform flutters. There is relative motion between them, and the captured image will produce smear, resulting in blurred image and lower image resolution, which cannot fully achieve the resolution capability of the imaging system design. In less-than-ideal lighting conditions, camera exposure times are longer, exacerbating the image blur problem. [0003] In order to eliminate the impact of platform vibration on imaging quality, peopl...

AI Technical Summary

Problems solved by technology

Although this method does not require additional hardware and can better deal with motion blur caused by the motion of the object itself, its high time complexity restricts its application range, making it not well applied to flutter blur image recovery

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