Citation

Abstract

The Spectral Airglow Structure Imager (SASI) is a mission on CubeSat NB's VIOLET satellite, and it is imaging the 630 nm redline atomic oxygen airglow in the ionosphere at altitudes of 300-400 km. The image acquisition conditions of VIOLET make it susceptible to significant degradation primarily due to rotational blurring. A method of deconvolution by ring extraction and linearization using Richardson-Lucy methods for rotational blurring is presented to minimize the rotational blurring in the system. Interpolation by means of splicing and specific pixel deconvolutions are discussed to increase image quality after deconvolution. Boundary conditions for pre-processing to handle corner degradation due to the nature of rotational blurring are also discussed. Preliminary results show effective deconvolution of rotationally blurred images, currently resulting in SSIM indexes approaching 0.50.

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Paper (DOI)

Acknowledgements

• Canadian Space Agency (CSA), and
• New Brunswick Innovation Foundation (NBIF).

• University of New Brunswick ,
• Université de Moncton ,
• New Brunswick Community College ,
• Natural Sciences and Engineering Research Council, ,
• IEEE New Brunswick Section ,
• Atlantic Canada Aerospace and Defence Association ,
• Testforce , and
• Spirent .

• NanoAvionics ,
• Red Shift Labs ,
• ON Semiconductor , and
• Valispace .

Hashtags

#CubeSatCA, #CubeSatNB