Multi-frame image rapid reconstruction method on microsatellite platform

Abstract

The invention relates to a multi-frame image rapid reconstruction method on a microsatellite platform. The method comprises the following steps of: a, establishing a load observation jitter model according to a power spectrum of the satellite platform; b, acquiring a short-exposure image in combination with a jitter model, and registering the image; c, performing multi-frame superposition reconstruction on the registered image; and d, carrying out noise reduction and filtering on the reconstructed image. According to the method, the problem of restoration of multiple frames of images with relative movement in an actual scene observed on a microsatellite platform can be accurately and quickly solved, the focal plane imaging blurring phenomenon caused by load pointing jitter in the imaging process is effectively removed, and the system imaging resolution is improved. Moreover, the method is low in calculation complexity, has the capability of on-satellite real-time operation, and is suitable for observation of different scenes such as astronomical imaging and earth observation based on microsatellites or similar spacecrafts.

Description

technical field [0001] The invention relates to a fast reconstruction method of multi-frame images on a tiny satellite platform. Background technique [0002] At present, the miniaturization trend in the global satellite application field is accelerating, and micro-satellites are showing explosive development. The progress of engineering subsystems such as satellite attitude control, thermal control, propulsion, communication, on-board processing, and payload have all prompted the further development of micro-satellites in the direction of high performance. For example, the Purple Pupil Science Satellite is a tiny astronomical satellite developed in recent years. The goal is to realize two-color photometry for exoplanet occultation, stellar activity monitoring in the ultraviolet band, and near-Earth asteroid monitoring in Earth orbit. [0003] The pointing of the space telescope will drift or shake randomly during the observation period, resulting in a decrease in the accu...

AI Technical Summary

Problems solved by technology

On the one hand, the convolution kernel cannot always be provided accurately as a prior; on the other hand, even with appropriate prior information and an additional regularization term, this inverse problem is still sensitive to measurement noise, which can lead to strong artifacts

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