benchmark dataset 1geometric correction 1oblique aerial imagery 1ode-based modeling 1roof-to-footprint alignment 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
ObliCity: A Benchmark and Baseline for Roof-to-Ground Projection Displacement Correction
Kai Li, Yupeng Deng, Ligao Deng +6
The paper presents ObliCity, a large-scale benchmark for extracting roof-to-footprint offset vectors in oblique urban remote sensing images, and introduces DragRoof, an ODE-based m…
cs.CV2025
IRSAMap:Towards Large-Scale, High-Resolution Land Cover Map Vectorization
Yu Meng, Ligao Deng, Zhihao Xi +9
With the enhancement of remote sensing image resolution and the rapid advancement of deep learning, land cover mapping is transitioning from pixel-level segmentation to object-base…
cs.CV2025
GLD-Road:A global-local decoding road network extraction model for remote sensing images
Ligao Deng, Yupeng Deng, Yu Meng +4
Road networks are crucial for mapping, autonomous driving, and disaster response. While manual annotation is costly, deep learning offers efficient extraction. Current methods incl…