Dr. Yanpeng Wu Profile

Dr. Yanpeng Wu

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Publications (1)

Proceedings Article | 21 December 2023 Paper

Challenges and application of artificial intelligence technology in the field of space optical telescopes

Xiong Yan, Siyuan Liu, Jin Nan, Botao Song, Weichun Fu, Yanpeng Wu

Proceedings Volume 12966, 129660A (2023) https://doi.org/10.1117/12.3005251

KEYWORDS: Artificial intelligence, Optical telescopes, Evolutionary algorithms, Telescopes, Mathematical optimization, Image processing, Image enhancement, Image quality, Image analysis, Cameras

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This article mainly discusses the applications of artificial intelligence technology in the field of space optical telescopes and the challenges it faces. With the continuous development of artificial intelligence technology, its application in the field of space optical telescope is becoming more and more extensive. Artificial intelligence technology can help space optical telescope achieve more efficient and accurate imaging and improve image quality. For example, through the analysis of image data, artificial intelligence algorithms can automatically adjust camera parameters to achieve better imaging effects; through the processing of image data, artificial intelligence algorithms can improve image quality and eliminate problems such as noise and blur. However, the application of artificial intelligence technology in the field of space optical cameras also faces some challenges. Firstly, the huge amount of data obtained by space optical cameras poses high requirements on the processing ability of artificial intelligence algorithms. Secondly, when artificial intelligence algorithms process space optical data, the computational complexity is very high, which also brings some difficulties to algorithm optimization. In view of these challenges, this article summarizes some existing solutions. For example, algorithm structure can be optimized to improve algorithm running efficiency; distributed computing and other technologies can be used to improve computing power. In addition, by introducing new hardware devices and computing architectures, we can further enhance the application effect of artificial intelligence technology in the field of space optical cameras. In summary, artificial intelligence technology has broad prospects for application in the field of space optical cameras, but it also faces some challenges. Through continuous efforts and innovation, we are confident that we can overcome these challenges and achieve the extensive application of artificial intelligence technology in the field of space optical cameras.

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