A non-uniformity correction method for space-borne multichannel large array CMOS remote sensing camera based on image

Bingjie Liu; Kejin Zhu; Xinglin Zheng; Yang Li; Wenbo Wu; Feiran Zhang

doi:10.1117/12.2656222

9 January 2023 A non-uniformity correction method for space-borne multichannel large array CMOS remote sensing camera based on image

Bingjie Liu, Kejin Zhu, Xinglin Zheng, Yang Li, Wenbo Wu, Feiran Zhang

Author Affiliations +

Proceedings Volume 12507, Advanced Optical Manufacturing Technologies and Applications 2022; and 2nd International Forum of Young Scientists on Advanced Optical Manufacturing (AOMTA and YSAOM 2022); 125071Y (2023) https://doi.org/10.1117/12.2656222
Event: 2nd International Forum of Young Scientists on Advanced Optical Manufacturing (AOMTA and YSAOM 2022), 2022, Changchun, China

Abstract

The large array multichannel detector itself has the problems of inconsistent dark current and uneven response between various channels, and after geometric splicing, the image output uniformity between multiple detectors is lower, which is difficult to meet the requirements of further image processing such as target recognition, early warning, tracking, prospection and so on. This paper researches the output image uniformity of multichannel large array detectors after splicing based on the integrating sphere radiometric calibration system, aiming at the problems of high difficulty in real-time imaging correction of space multichannel large array camera and the storage capacity of correction coefficient per pixel limited by hardware, a multichannel large array image uniformity adjustment approach applied to space camera is proposed. Firstly, the dark current correction is carried out to make the detector response consistent under the condition of full darkness. Then the edges of image points in adjacent boundary regions are fitted, and the correction coefficient is obtained. Finally, the correction coefficient is modified according to the saturation value of detector response. This approach significantly improves the uniformity and continuity of large array multichannel spatial remote sensing camera images, which provides the basic guarantee for subsequent image processing such as target recognition and tracking to improve the sensitivity and reduce the false alarm rate. This approach has few correction coefficients, small storage capacity and low hardware implementation difficulty. It has important reference significance for improving output uniformity of stitched focal plane images of large field of view space remote sensing cameras.

Citation Download Citation

Bingjie Liu, Kejin Zhu, Xinglin Zheng, Yang Li, Wenbo Wu, and Feiran Zhang "A non-uniformity correction method for space-borne multichannel large array CMOS remote sensing camera based on image", Proc. SPIE 12507, Advanced Optical Manufacturing Technologies and Applications 2022; and 2nd International Forum of Young Scientists on Advanced Optical Manufacturing (AOMTA and YSAOM 2022), 125071Y (9 January 2023); https://doi.org/10.1117/12.2656222

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KEYWORDS

Sensors

Cameras

Remote sensing

Image sensors

CMOS sensors

Image quality

Image processing

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