LTM: Large-scale Terrain Model for Wildfire-prone Landscapes
Accurate 3D terrain maps are essential for emergency response when assessing wildfire hazards. However, wildfire-prone regions often span vast areas where conventional reconstruction methods underperform. Airborne LiDAR systems provide high-resolution terrain data, but they are expensive and infrequently updated. Image-based methods offer a lower-cost alternative, but struggle due to sparse visual features and limited image overlap. We propose a multi-modal reconstruction framework leveraging outdated Digital Elevation Models (DEMs) as geometric priors for image-based 3D reconstruction. Our ke
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- LinkedLinked via arxiv author · 85%Xiao Fu →
“LTM: Large-scale Terrain Model for Wildfire-prone Landscapes”
- LinkedLinked via arxiv author · 85%Xinyue Huo →
“LTM: Large-scale Terrain Model for Wildfire-prone Landscapes”
- LinkedLinked via arxiv author · 85%Meida Chen →
“LTM: Large-scale Terrain Model for Wildfire-prone Landscapes”
- LinkedLinked via arxiv author · 85%Peter Anthony Beerel →
“LTM: Large-scale Terrain Model for Wildfire-prone Landscapes”
- LinkedLinked via arxiv author · 85%Barath Raghavan →
“LTM: Large-scale Terrain Model for Wildfire-prone Landscapes”