Super-solution technology for low light level imaging in the field of remote sensing

Chao Zhang; Bin Bai; Chuanjie Zhou; Shaoning Wei

doi:10.1117/12.2587484

12 March 2021 Super-solution technology for low light level imaging in the field of remote sensing

Chao Zhang, Bin Bai, Chuanjie Zhou, Shaoning Wei

Proceedings Volume 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications; 117637T (2021) https://doi.org/10.1117/12.2587484
Event: Seventh Symposium on Novel Photoelectronic Detection Technology and Application 2020, 2020, Kunming, China

Abstract

We have designed the super-solution technology for low light level imaging in the field of remote sensing. Low light level image super-resolution is realized with a method of super-resolution processing based on worked example learning and the information of high-resolution visible image. Multi-frame image and single-frame image of the super-resolution algorithms are combined to apply in the low light level imaging in the field of remote sensing. With the ground targets as the reference, the results illustrate that the higher resolution images are obtained and a number of image data are satisfactory. This technology has impressive potential for improving the efficiency of low light level remote sensing.

Citation Download Citation

Chao Zhang, Bin Bai, Chuanjie Zhou, and Shaoning Wei "Super-solution technology for low light level imaging in the field of remote sensing", Proc. SPIE 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications, 117637T (12 March 2021); https://doi.org/10.1117/12.2587484

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