6 citations · 6 across the 1 of their papers we have counts for
2 papers
cs.CV2026★ 6 cited
FLAME 3 Dataset: Unleashing the Power of Radiometric Thermal UAV Imagery for Wildfire Management
Bryce Hopkins, Leo ONeill, Michael Marinaccio +7
The increasing accessibility of radiometric thermal imaging sensors for unmanned aerial vehicles (UAVs) offers significant potential for advancing AI-driven aerial wildfire managem…
eess.IV2025
Seeing Heat with Color -- RGB-Only Wildfire Temperature Inference from SAM-Guided Multimodal Distillation using Radiometric Ground Truth
Michael Marinaccio, Fatemeh Afghah
High-fidelity wildfire monitoring using Unmanned Aerial Vehicles (UAVs) typically requires multimodal sensing - especially RGB and thermal imagery - which increases hardware cost a…