3 citations · 7 across the 5 of their papers we have counts for
5 papers
Wetland mapping from sparse annotations with satellite image time series and temporal-aware segment anything model
Shuai Yuan, Tianwu Lin, Shuang Chen +8
Accurate wetland mapping is essential for ecosystem monitoring, yet dense pixel-level annotation is prohibitively expensive and practical applications usually rely on sparse point…
Democratizing planetary-scale analysis: An ultra-lightweight Earth embedding database for accurate and flexible global land monitoring
Shuang Chen, Jie Wang, Shuai Yuan +15
The rapid evolution of satellite-borne Earth Observation (EO) systems has revolutionized terrestrial monitoring, yielding petabyte-scale archives. However, the immense computationa…
Dynamic mapping from static labels: remote sensing dynamic sample generation with temporal-spectral embedding
Shuai Yuan, Shuang Chen, Tianwu Lin +5
Accurate remote sensing geographic mapping requires timely and representative samples. However, rapid land surface changes often render static samples obsolete within months, makin…
A comprehensive review of remote sensing in wetland classification and mapping
Shuai Yuan, Xiangan Liang, Tianwu Lin +5
Wetlands constitute critical ecosystems that support both biodiversity and human well-being; however, they have experienced a significant decline since the 20th century. Back in th…
FUSU: A Multi-temporal-source Land Use Change Segmentation Dataset for Fine-grained Urban Semantic Understanding
Shuai Yuan, Guancong Lin, Lixian Zhang +6
Fine urban change segmentation using multi-temporal remote sensing images is essential for understanding human-environment interactions in urban areas. Although there have been adv…