Onboard-Targeted Segmentation of Straylight in Space Camera Sensors

Researchers have developed an AI-based method using DeepLabV3 with MobileNetV3 for semantic segmentation of straylight effects in space camera images, addressing solar-induced anomalies. This technique leverages pre-training on non-space datasets to generalize across diverse conditions and is optimized for resource-constrained spacecraft hardware, offering content creators a robust tool for improving image quality in challenging environments.

Read the full article at arXiv cs.CV (Vision)

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