IGSNRR OpenIR

Browse/Search Results:  1-10 of 146 Help

Selected(0)Clear Items/Page:    Sort:
Tracking small-scale tropical forest disturbances: Fusing the Landsat and Sentinel-2 data record 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2021, 卷号: 261, 页码: 17
Authors:  Zhang, Yihang;  Ling, Feng;  Wang, Xia;  Foody, Giles M.;  Boyd, Doreen S.;  Li, Xiaodong;  Du, Yun;  Atkinson, Peter M.
Favorite  |  View/Download:4/0  |  Submit date:2021/08/19
Forest disturbance  Small-scale clearing  Landsat and Sentinel-2  Deep learning  Downscaling  
NestNet: a multiscale convolutional neural network for remote sensing image change detection 期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2021, 卷号: 42, 期号: 13, 页码: 4902-4925
Authors:  Yu, Xiao;  Fan, Junfu;  Chen, Jiahao;  Zhang, Peng;  Zhou, Yuke;  Han, Liusheng
Favorite  |  View/Download:25/0  |  Submit date:2021/06/10
Tree counting with high spatial-resolution satellite imagery based on deep neural networks 期刊论文
ECOLOGICAL INDICATORS, 2021, 卷号: 125, 页码: 12
Authors:  Yao, Ling;  Liu, Tang;  Qin, Jun;  Lu, Ning;  Zhou, Chenghu
Favorite  |  View/Download:9/0  |  Submit date:2021/06/10
Forestry  Deep learning algorithms  Remote sensing  Density estimation  Tree counting  
Multi-hour and multi-site air quality index forecasting in Beijing using CNN, LSTM, CNN-LSTM, and spatiotemporal clustering 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2021, 卷号: 169, 页码: 15
Authors:  Yan, Rui;  Liao, Jiaqiang;  Yang, Jie;  Sun, Wei;  Nong, Mingyue;  Li, Feipeng
Favorite  |  View/Download:2/0  |  Submit date:2021/08/19
LSTM  CNN  Forecasting  AQI  Spatiotemporal clustering  
Prediction of human activity intensity using the interactions in physical and social spaces through graph convolutional networks 期刊论文
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2021, 页码: 28
Authors:  Li, Mingxiao;  Gao, Song;  Lu, Feng;  Liu, Kang;  Zhang, Hengcai;  Tu, Wei
Favorite  |  View/Download:5/0  |  Submit date:2021/06/10
Human activity intensity prediction  graph convolutional networks  social interaction  mobile phone data  human mobility  
Deep Learning Based Sea Ice Classification with Gaofen-3 Fully Polarimetric SAR Data 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 8, 页码: 22
Authors:  Zhang, Tianyu;  Yang, Ying;  Shokr, Mohammed;  Mi, Chunlei;  Li, Xiao-Ming;  Cheng, Xiao;  Hui, Fengming
Favorite  |  View/Download:6/0  |  Submit date:2021/06/10
Gaofen-3  polarimetric data  sea ice classification  residual convolutional network  
Mapping Rice Paddy Distribution Using Remote Sensing by Coupling Deep Learning with Phenological Characteristics 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 7, 页码: 16
Authors:  Zhu, A-Xing;  Zhao, Fang-He;  Pan, Hao-Bo;  Liu, Jun-Zhi
Favorite  |  View/Download:22/0  |  Submit date:2021/06/10
rice paddy distribution  remote sensing  phenological characteristics  deep learning  machine learning  spatial prediction  
Spatiotemporal estimation of satellite-borne and ground-level NO2 using full residual deep networks 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2021, 卷号: 254, 页码: 22
Authors:  Li, Lianfa;  Wu, Jiajie
Favorite  |  View/Download:7/0  |  Submit date:2021/03/15
OMI-NO2 columns  Imputation of missing values  Full residual deep network  Bagging  Ground-level NO2 estimation  Traffic and land-use variables  Uncertainty  
Robust unsupervised small area change detection from SAR imagery using deep learning 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2021, 卷号: 173, 页码: 79-94
Authors:  Zhang, Xinzheng;  Su, Hang;  Zhang, Ce;  Gu, Xiaowei;  Tan, Xiaoheng;  Atkinson, Peter M.
Favorite  |  View/Download:6/0  |  Submit date:2021/06/10
Change detection  Synthetic aperture radar  Difference image  Fuzzy c-means algorithm  Deep learning  
Integrating Multi-Source Data for Rice Yield Prediction across China using Machine Learning and Deep Learning Approaches 期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2021, 卷号: 297, 页码: 15
Authors:  Cao, Juan;  Zhang, Zhao;  Tao, Fulu;  Zhang, Liangliang;  Luo, Yuchuan;  Zhang, Jing;  Han, Jichong;  Xie, Jun
Favorite  |  View/Download:15/0  |  Submit date:2021/03/15
Rice  Google Earth Engine (GEE)  Machine Learning (ML)  Deep Learning (DL)  Yield prediction  Early warning system