5 citations · 9 across the 6 of their papers we have counts for
8 papers
LoDEOT: Low-Dimensional and Efficient Offset Tokens for Building Footprint Extraction from Off-Nadir Imagery
Kai Li, Zigan Zhou, Zhenyang Li +7
Instance-level roof-to-footprint offset (RFO) prediction is central to extracting building footprints from off-nadir imagery. Query-based pipelines commonly use high-dimensional in…
ObliCity: A Benchmark and Baseline for Roof-to-Ground Projection Displacement Correction
Kai Li, Yupeng Deng, Ligao Deng +6
Oblique-view urban remote sensing imagery inevitably exhibits geometric projection displacements between building roofs and footprints, leading to significant distortions in spatia…
DragOSM: Extract Building Roofs and Footprints from Aerial Images by Aligning Historical Labels
Kai Li, Xingxing Weng, Yupeng Deng +4
Extracting polygonal roofs and footprints from remote sensing images is critical for large-scale urban analysis. Most existing methods rely on segmentation-based models that assume…
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…
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…
DGTRSD & DGTRS-CLIP: A Dual-Granularity Remote Sensing Image-Text Dataset and Vision Language Foundation Model for Alignment
Weizhi Chen, Yupeng Deng, Jin Wei +7
Vision Language Foundation Models based on CLIP architecture for remote sensing primarily rely on short text captions, which often result in incomplete semantic representations. Al…
PolyFootNet: Extracting Polygonal Building Footprints in Off-Nadir Remote Sensing Images
Kai Li, Yupeng Deng, Jingbo Chen +6
Extracting polygonal building footprints from off-nadir imagery is crucial for diverse applications. Current deep-learning-based extraction approaches predominantly rely on semanti…
Prompt-Driven Building Footprint Extraction in Aerial Images with Offset-Building Model
Kai Li, Yupeng Deng, Yunlong Kong +5
More accurate extraction of invisible building footprints from very-high-resolution (VHR) aerial images relies on roof segmentation and roof-to-footprint offset extraction. Existin…