RPIR: A Semiblind Unsupervised Learning Image Restoration Method for Optical Synthetic Aperture Imaging Systems With Co-Phase Errors
Author:
Affiliation:
1. National Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, Chengdu, China
2. Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/4609443/10330207/10645065.pdf?arnumber=10645065
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2. The scaling relationship between telescope cost and aperture size for very large telescopes
3. MOIRE: initial demonstration of a transmissive diffractive membrane optic for large lightweight optical telescopes
4. The Large Binocular Telescope
5. Improving mid-frequency contrast in sparse aperture optical imaging systems based upon the Golay-9 array
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