SOURCE-LINKED INTELLIGENCE
WISE: A Lightweight, Weakly-Supervised Model for Onboard Fire Smoke Detection and Localization
Wildfire smoke detection from satellite imagery is critical for early warning and rapid response. For onboard satellite deployment, detection systems must operate under strict memory and latency constraints while providing spatially informative outputs for downstream decision-making. Existing tile-level classification methods are computationally efficient but lack spatial localization, whereas pixel-level segmentation approaches provide detailed masks yet are typically too computationally demanding for real-time onboard execution. To address this gap, we propose WISE (Weakly-supervised Inferen
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-16T07:00:48.000Z
First collected: 2026-09-20T08:01:03.945Z. This is not the publication date.