1 code implementation • 8 May 2024 • Zhuohong Li, wei he, Jiepan Li, Hongyan zhang
In this study, we proposed a semi-supervised framework to identify every building's function in large-scale urban areas with multi-modality remote-sensing data.
3 code implementations • 19 Apr 2024 • Zhuohong Li, Fangxiao Lu, Jiaqi Zou, Lei Hu, Hongyan zhang
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.
3 code implementations • 5 Mar 2024 • Zhuohong Li, wei he, Jiepan Li, Fangxiao Lu, Hongyan zhang
However, it is still a non-trivial task hindered by complex ground details, various landforms, and the scarcity of accurate training labels over a wide-span geographic area.
no code implementations • 28 Nov 2023 • Jiepan Li, Fangxiao Lu, Nan Xue, Zhuohong Li, Hongyan zhang, wei he
In this paper, we propose an overlapped window cross-level attention (OWinCA) to achieve the low-level feature enhancement guided by the highest-level features.
no code implementations • 9 Mar 2023 • Zhuohong Li, wei he, Hongyan zhang
With the rapid urbanization of China, there is an urgent need for creating a very-high-resolution (VHR) national-scale LC map for China.