articleTop 1% cited
Deep learning in environmental remote sensing: Achievements and challenges
Remote Sensing of Environment · 2020 · Vol. 241 · pp. 111716–111716
Qiangqiang Yuan(Wuhan University)Huanfeng Shen✉(Wuhan University)Tongwen Li(Wuhan University)Zhiwei Li(Wuhan University)Shuwen Li(Wuhan University)Yun Jiang(Wuhan University)Hongzhang Xu(Wuhan University)Weiwei Tan(Wuhan University)Qianqian Yang(Wuhan University)Jiwen Wang(Wuhan University)Jianhao Gao(Wuhan University)Liangpei Zhang(Wuhan University)
Remote-Sensing Image ClassificationAir Quality Monitoring and ForecastingRemote Sensing in AgricultureRemote sensingEnvironmental scienceComputer scienceGeology
Funding
- National Natural Science Foundation of China
- National Key Research and Development Program of China
Citations
1,571
FWCI
146.83
field-weighted impact
References
352
Percentile
100%
vs. same field & year
Citations per year
Cited by
Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture
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References
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Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery
Remote Sensing · 2015 · 1,197 citations
Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery
Remote Sensing of Environment · 2011 · 1,211 citations
Representation Learning: A Review and New Perspectives
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2013 · 12,724 citations
Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery
Remote Sensing · 2018 · 425 citations
Deep learning
Nature · 2015 · 79,164 citations
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