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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  
Accurate Building Extraction from Fused DSM and UAV Images Using a Chain Fully Convolutional Neural Network 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 24, 页码: 18
Authors:  Liu, Wei;  Yang, MengYuan;  Xie, Meng;  Guo, Zihui;  Li, ErZhu;  Zhang, Lianpeng;  Pei, Tao;  Wang, Dong
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building extraction  digital surface model  unmanned aerial vehicle images  chain full convolution neural network  fusion  
Jointly Learning of Visual and Auditory: A New Approach for RS Image and Audio Cross-Modal Retrieval 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 11, 页码: 4644-4654
Authors:  Guo, Mao;  Zhou, Chenghu;  Liu, Jiahang
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Convolutional neural network  cross-modal  image retrieval  remote sensing  speech  
County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model 期刊论文
SENSORS, 2019, 卷号: 19, 期号: 20, 页码: 21
Authors:  Sun, Jie;  Di, Liping;  Sun, Ziheng;  Shen, Yonglin;  Lai, Zulong
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soybean  yield prediction  county-level  Google Earth Engine  CNN-LSTM  
A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data 期刊论文
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2019, 卷号: 114, 页码: 13
Authors:  Jiang, Hou;  Lu, Ning;  Qin, Jun;  Tang, Wenjun;  Yao, Ling
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Global solar radiation  Convolutional neural network  Deep learning  Geostationary satellite  Temporal and spatial variations  
Super-Resolution Land Cover Mapping Based on the Convolutional Neural Network 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 15, 页码: 17
Authors:  Jia, Yuanxin;  Ge, Yong;  Chen, Yuehong;  Li, Sanping;  Heuvelink, Gerard B. M.;  Ling, Feng
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super-resolution mapping  land cover  convolutional neural network  remote sensing imagery  
Measuring River Wetted Width From Remotely Sensed Imagery at the Subpixel Scale With a Deep Convolutional Neural Network 期刊论文
WATER RESOURCES RESEARCH, 2019, 卷号: 55, 期号: 7, 页码: 5631-5649
Authors:  Ling, Feng;  Boyd, Doreen;  Ge, Yong;  Foody, Giles M.;  Li, Xiaodong;  Wang, Lihui;  Zhang, Yihang;  Shi, Lingfei;  Shang, Cheng;  Li, Xinyan;  Du, Yun
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A Deep Convolution Neural Network Method for Land Cover Mapping: A Case Study of Qinhuangdao, China 期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 12, 页码: 16
Authors:  Hu, Yunfeng;  Zhang, Qianli;  Zhang, Yunzhi;  Yan, Huimin
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land cover/land use  image classification  automatic mapping  accuracy evaluation  methods comparison  Landsat OLI imagery  
Extraction of Urban Waterlogging Depth from Video Images Using Transfer Learning 期刊论文
WATER, 2018, 卷号: 10, 期号: 10, 页码: 11
Authors:  Jiang, Jingchao;  Liu, Junzhi;  Qin, Cheng-Zhi;  Wang, Dongliang
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urban waterlogging depth  video image  transfer learning  lasso regression  
Extraction of Urban Water Bodies from High-Resolution Remote-Sensing Imagery Using Deep Learning 期刊论文
WATER, 2018, 卷号: 10, 期号: 5, 页码: 20
Authors:  Chen, Yang;  Fan, Rongshuang;  Yang, Xiucheng;  Wang, Jingxue;  Latif, Aamir
Favorite  |  View/Download:9/0  |  Submit date:2019/05/23
deep learning  convolutional neural networks  superpixel  urban water bodies  high-resolution remote-sensing images