Improving image quality of the Pleiades satellites
Centre National D'Études Spatiales (CNES) is the French National Space Center. It has a budget of €2,780 million and more than 2,350 employees, most of them engineers.
Image by:CNES
CHALLENGE
CNES is in charge of the development, deployment, and operation of several satellites, among them the Pleiades constellation. This is formed by two twin very-high-resolution satellites: 50 cm for the panchromatic and 2m for the multispectral bands. Because of their size, images are compressed before sending to the Earth. This compression generates artifacts in the resulting images that degrade the overall image quality.
CNES is in charge of the development, deployment, and operation of several satellites, among them the Pleiades constellation. This is formed by two twin very-high-resolution satellites: 50 cm for the panchromatic and 2m for the multispectral bands. Because of their size, images are compressed before sending to the Earth. This compression generates artifacts in the resulting images that degrade the overall image quality.
Image by:CNES
SOLUTION
We performed a profound analysis of the image formation and compression algorithm. From there, we proposed a new mathematical model to implement a joint denoising and decompression algorithm that removes those artifacts. The novelty of the proposed approach led to its publication in one of the best-known Image Processing Conferences: IEEE ICIP in 2017. An improvement based on a deep learning approach was later presented at CVPR 2018.
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