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AI system reduces satellite data by detecting maritime objects onboard

By PulseAugur Editorial · [1 sources] ·

Researchers have developed an AI system for onboard maritime object detection to reduce data transmission from Earth observation satellites. The system uses a YOLOX-S detector trained on a custom dataset derived from Maxar scenes, achieving efficient vessel detection. This detector is then deployed on Versal embedded hardware, enabling data reduction through various downlink modes such as metadata-only, image crops, or tiles containing detections, significantly decreasing the volume of data that needs to be transmitted. AI

IMPACT This research demonstrates a practical application of AI for optimizing data transmission in satellite imagery, potentially improving efficiency for Earth observation missions.

RANK_REASON Research paper detailing a novel AI application for data reduction on embedded hardware. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI system reduces satellite data by detecting maritime objects onboard

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18 / 100
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Research paper detailing a novel AI application for data reduction on embedded hardware. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Thomas Goudemant, Aur\'elien Bobey, Omar Hlimi, Marjorie Bellizzi ·

    AI-Based On-Board Maritime Object Detection for Earth Observation Payload Data Reduction on Versal Embedded Hardware

    arXiv:2610.12182v1 Announce Type: cross Abstract: Very-high-resolution Earth-observation satellites acquire more data than they can store and downlink, while in maritime surveillance the vessels cover a tiny fraction of each scene. We study onboard vessel detection as a way to se…

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