most citedNational-scale 1-m resolution land-cover mapping for the entire China based on a low-cost solution and open-access data

1 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Identifying every building's function in large-scale urban areas with multi-modality remote-sensing data

Zhuohong Li, Wei He, Jiepan Li +1

Buildings, as fundamental man-made structures in urban environments, serve as crucial indicators for understanding various city function zones. Rapid urbanization has raised an urg…

cs.CV2024

Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation Framework

Zhuohong Li, Fangxiao Lu, Jiaqi Zou +2

Land-cover mapping is one of the vital applications in Earth observation, aiming at classifying each pixel's land-cover type of remote-sensing images. As natural and human activiti…

cs.CV2024★ 1 cited

Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels

Zhuohong Li, Wei He, Jiepan Li +2

Large-scale high-resolution (HR) land-cover mapping is a vital task to survey the Earth's surface and resolve many challenges facing humanity. However, it is still a non-trivial ta…

cs.CV2023★ 1 cited

Cross-level Attention with Overlapped Windows for Camouflaged Object Detection

Jiepan Li, Fangxiao Lu, Nan Xue +3

Camouflaged objects adaptively fit their color and texture with the environment, which makes them indistinguishable from the surroundings. Current methods revealed that high-level…

cs.CV2023★ 1 cited

National-scale 1-m resolution land-cover mapping for the entire China based on a low-cost solution and open-access data

Zhuohong Li, Wei He, Hongyan Zhang

Nowadays, many large-scale land-cover (LC) products have been released, however, current LC products for China either lack a fine resolution or nationwide coverage. With the rapid…