This paper aims at a novel super-resolution imaging design scheme for CX6-02 micro-satellite. In the design of super resolution reconstruction algorithm, under the framework of the hierarchical bayesian, an improved L1 norm prior model based on gradient adaptation is proposed, to avoid the amplification of noise while deconvolution. In imaging mode and system design, the satellite attitude control deviation and ground velocity compensation are used to obtain multi-frame images with sub-pixel information, and in order to exploit the potential of the reconstruction algorithm, the parameters of the optical system are designed by means of high availability redundancy. These make the CX6-02 satellite’s imaging resolution increased from 2.8 to 1.4 meters in the 700km orbit altitude, the whole satellite is 66kg.
With the rapid development of remote sensing imaging technology, the micro satellite, one kind of tiny spacecraft, appears during the past few years. A good many studies contribute to dwarfing satellites for imaging purpose. Generally speaking, micro satellites weigh less than 100 kilograms, even less than 50 kilograms, which are slightly larger or smaller than the common miniature refrigerators. However, the optical system design is hard to be perfect due to the satellite room and weight limitation. In most cases, the unprocessed data captured by the imager on the microsatellite cannot meet the application need. Spatial resolution is the key problem. As for remote sensing applications, the higher spatial resolution of images we gain, the wider fields we can apply them. Consequently, how to utilize super resolution (SR) and image fusion to enhance the quality of imagery deserves studying. Our team, the Key Laboratory of Computational Optical Imaging Technology, Academy Opto-Electronics, is devoted to designing high-performance microsat-borne imagers and high-efficiency image processing algorithms. This paper addresses a multispectral image enhancement framework for space-borne imagery, jointing the pan-sharpening and super resolution techniques to deal with the spatial resolution shortcoming of microsatellites. We test the remote sensing images acquired by CX6-02 satellite and give the SR performance. The experiments illustrate the proposed approach provides high-quality images.
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