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Predicting future locations of moving objects with deep fuzzy-LSTM networks 期刊论文
TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2020, 卷号: 16, 期号: 1, 页码: 119-136
Authors:  Li, Mingxiao;  Lu, Feng;  Zhang, Hengcai;  Chen, Jie
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Location prediction  fuzzy space partition  mobile phone data  trajectory data mining  deep learning  
Change detection in very high-resolution images based on ensemble CNNs 期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2020, 卷号: 41, 期号: 12, 页码: 4755-4777
Authors:  Zhang, Xinlong;  Fan, Rui;  Ma, Lei;  Liao, Xiaohan;  Chen, Xiuwan
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Evaluation of conditioned Latin hypercube sampling for soil mapping based on a machine learning method 期刊论文
GEODERMA, 2020, 卷号: 369, 页码: 15
Authors:  Yang, Lin;  Li, Xinming;  Shi, Jingjing;  Shen, Feixue;  Qi, Feng;  Gao, Binbo;  Chen, Ziyue;  Zhu, A-Xing;  Zhou, Chenghu
Favorite  |  View/Download:15/0  |  Submit date:2020/05/19
Conditioned Latin hypercube sampling  Soil mapping  Representativeness  Sample randomness  
Development of spectral-phenological features for deep learning to understand Spartina alterniflora invasion 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2020, 卷号: 242, 页码: 15
Authors:  Tian, Jinyan;  Wang, Le;  Yin, Dameng;  Li, Xiaojuan;  Diao, Chunyuan;  Gong, Huili;  Shi, Chen;  Menenti, Massimo;  Ge, Yong;  Nie, Sheng;  Ou, Yang;  Song, Xiaonan;  Liu, Xiaomeng
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Cloudy coastal zone  Invasive species  Phenology  Google earth engine  Remote sensing big data  Deep learning  
Research on a novel extraction method using Deep Learning based on GF-2 images for aquaculture areas 期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2020, 卷号: 41, 期号: 9, 页码: 3575-3591
Authors:  Cheng, Bo;  Liang, Chenbin;  Liu, Xunan;  Liu, Yueming;  Ma, Xiaoxiao;  Wang, Guizhou
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Estimating Ecosystem Respiration in the Grasslands of Northern China Using Machine Learning: Model Evaluation and Comparison 期刊论文
SUSTAINABILITY, 2020, 卷号: 12, 期号: 5, 页码: 17
Authors:  Zhu, Xiaobo;  He, Honglin;  Ma, Mingguo;  Ren, Xiaoli;  Zhang, Li;  Zhang, Fawei;  Li, Yingnian;  Shi, Peili;  Chen, Shiping;  Wang, Yanfen;  Xin, Xiaoping;  Ma, Yaoming;  Zhang, Yu;  Du, Mingyuan;  Ge, Rong;  Zeng, Na;  Li, Pan;  Niu, Zhongen;  Zhang, Liyun;  Lv, Yan;  Song, Zengjing;  Gu, Qing
Favorite  |  View/Download:7/0  |  Submit date:2020/05/19
ecosystem respiration  machine learning  deep learning  grasslands  northern China  
Spatiotemporal imputation of MAIAC AOD using deep learning with downscaling 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2020, 卷号: 237, 页码: 17
Authors:  Li, Lianfa;  Franklin, Meredith;  Girguis, Mariam;  Lurmann, Frederick;  Wu, Jun;  Pavlovic, Nathan;  Breton, Carrie;  Gilliland, Frank;  Habre, Rima
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Aerosol Optical Depth  MAIAC  MERRA-2 GMI Replay Simulation  Deep learning  Downscaling  Missingness imputation  Air quality  
Optimal Inversion of Conversion Parameters from Satellite AOD to Ground Aerosol Extinction Coefficient Using Automatic Differentiation 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 3, 页码: 20
Authors:  Li, Lianfa
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parameter inversion  aerosol optical depth  PBLH  ground-based AOD  PM2  5  automatic differentiation  
Scale Sequence Joint Deep Learning (SS-JDL) for land use and land cover classification 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2020, 卷号: 237, 页码: 16
Authors:  Zhang, Ce;  Harrison, Paula A.;  Pan, Xin;  Li, Huapeng;  Sargent, Isabel;  Atkinson, Peter M.
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Multi-scale deep learning  Optimal scale selection  Convolutional neural network  Joint classification  Hierarchical representations  
A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 2, 页码: 27
Authors:  Li, Lianfa
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PM2.5  satellite AOD  deep learning  autoencoder  residual network  exposure estimation  high spatiotemporal resolution