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High resolution is the eternal pursuit of remote sensing satellites. At present, the highest resolution of American lock-eye satellite KH-12 has reached 10 cm, but due to the limitation of the diffraction limit of the remote sensing satellite optical system, the development of a higher resolution remote sensing satellite has encountered a bottleneck. The satellites in orbit, such as Pleiades-NEO, have found another way to super-resolve 30 cm images to 15 cm image products using super-resolution technology based on a convolutional neural network. This method of restoring low-resolution images to high-resolution images through image super-resolution techniques has attracted a lot of attention since the middle and late 20th century. The physical continuous graphic signal is sampled and quantized into discrete digital arrays by CCD or CMOS camera, while the diffraction limit of the optical system and many other factors of degradation also exacerbated this resolution degradation phenomenon. This paper writes from the optical sampling imaging system to induce the model of remote sensing image degradation and analyze the causes of resolution degradation from the source; Further, this pape

Author

Lin Lan; Chunling Lu

Publisher

Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd

Published

2023

Language

EN

ISBN

9789819940981

Subjects

Engineering, Science, Physics