Noise generation model of low-light remote sensing camera based on physical mechanism

Zhi Wang; Qiang Li; JiuZhe Wei; Yun Wang

doi:10.1117/12.3007720

18 December 2023 Noise generation model of low-light remote sensing camera based on physical mechanism

Zhi Wang, Qiang Li, JiuZhe Wei, Yun Wang

Proceedings Volume 12963, AOPC 2023: Optical Sensing, Imaging, and Display Technology and Applications; and Biomedical Optics; 1296317 (2023) https://doi.org/10.1117/12.3007720
Event: Applied Optics and Photonics China 2023 (AOPC2023), 2023, Beijing, China

Abstract

With the continuous development of the field of remote sensing, the field of space-based remote sensing is developing in the direction of all-sky time and intelligence. Since low-light remote sensing is used to detect ground objects under low illumination conditions such as night and dawn and dusk, it leads to the characteristics of low contrast, low brightness and low signal-to-noise ratio of remote sensing images. The low signal-to-noise ratio leads to a large number of complex physical noises which will drown the image features and seriously affect the recognition and interpretation of ground objects. In this paper, a real physical model construction method based on physical mechanism of low-light image is proposed, By solving the noise parameters of space-based low-light remote sensing camera, the specific noise distribution model is constructed, which is used to synthesize the training data of the training denoising network, Thus, it gets rid of the difficult and laborious calibration problem caused by the lack of space-based data. In addition, in order to simulate the real imaging scene of space-based remote sensing camera, a set of low-light remote sensing noise image data set based on real physical model is constructed for the first time, which effectively promotes the development of subsequent image denoising research.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhi Wang, Qiang Li, JiuZhe Wei, and Yun Wang "Noise generation model of low-light remote sensing camera based on physical mechanism", Proc. SPIE 12963, AOPC 2023: Optical Sensing, Imaging, and Display Technology and Applications; and Biomedical Optics, 1296317 (18 December 2023); https://doi.org/10.1117/12.3007720

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KEYWORDS

Remote sensing

Cameras

Interference (communication)

Data modeling

Dark current

Denoising

Convolution

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