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- Lancaster UniversityGB10 papers
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- Institute of Geographic Sciences and Natural Resources ResearchCN6 papers
- University of SouthamptonGB5 papers
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6 papers · 1 filter
Emergent constraints on climate sensitivities
Mark S. Williamson, Chad W. Thackeray, Peter M. Cox +3
Despite major advances in climate science over the last 30 years, persistent uncertainties in projections of future climate change remain. Climate projections are produced with inc…
Multi-stage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images
Rui Li, Shunyi Zheng, Chenxi Duan +2
The attention mechanism can refine the extracted feature maps and boost the classification performance of the deep network, which has become an essential technique in computer visi…
Multi-Attention-Network for Semantic Segmentation of Fine Resolution Remote Sensing Images
Rui Li, Shunyi Zheng, Chenxi Duan +3
Semantic segmentation of remote sensing images plays an important role in a wide range of applications including land resource management, biosphere monitoring and urban planning.…
Land Cover Classification from Remote Sensing Images Based on Multi-Scale Fully Convolutional Network
Rui Li, Shunyi Zheng, Chenxi Duan +1
In this paper, a Multi-Scale Fully Convolutional Network (MSFCN) with multi-scale convolutional kernel is proposed to exploit discriminative representations from two-dimensional (2…
MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed Images
Rui Li, Chenxi Duan, Shunyi Zheng +2
Semantic segmentation of remotely sensed images plays an important role in land resource management, yield estimation, and economic assessment. U-Net, a deep encoder-decoder archit…
Imputation of missing sub-hourly precipitation data in a large sensor network: a machine learning approach
Benedict Delahaye Chivers, John Wallbank, Steven J. Cole +4
Precipitation data collected at sub-hourly resolution represents specific challenges for missing data recovery by being largely stochastic in nature and highly unbalanced in the du…