AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The results show that augmentation is most useful for single-acquisition small satellite imagery, where it improves robustness to lower image quality, indicating that performance depended more on scene conditions than on perturbation strength.
The upgraded version of the geometric correction module of the STORM processing chain can automatically orthorectify images from the NEMO-HD small satellite, which, like other small satellites, in principle has a lower signal-to-noise ratio (SNR) and higher radiometric variability.
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