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浏览/检索结果: 共14条，第1-10条 帮助 限定条件 专题：地理科学与资源研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4217-4230 作者:  Li, Lianfa;  Fang, Ying;  Wu, Jun;  Wang, Jinfeng;  Ge, Yong 收藏  |  浏览/下载：80/0  |  提交时间：2021/11/05 Bias  deep learning  encoder-decoder  full residual deep network  non-linear regression  prediction of satellite aerosol optical depth (AOD) and PM2.5  spatiotemporal modeling   Cloud Detection Algorithm for Multi-Satellite Remote Sensing Imagery Based on a Spectral Library and 1D Convolutional Neural Network 期刊论文 REMOTE SENSING, 2021, 卷号: 13, 期号: 16, 页码: 20 作者:  Ma, Nan;  Sun, Lin;  Zhou, Chenghu;  He, Yawen 收藏  |  浏览/下载：21/0  |  提交时间：2021/11/05 ASTER spectral library  hyperspectral data  1D convolutional neural network  cloud detection  data simulation  multi-satellite remote sensing images   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 作者:  Zhang, Tianyu;  Yang, Ying;  Shokr, Mohammed;  Mi, Chunlei;  Li, Xiao-Ming 收藏  |  浏览/下载：24/0  |  提交时间：2021/06/10 Gaofen-3  polarimetric data  sea ice classification  residual convolutional network   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 作者:  Li, Lianfa;  Wu, Jiajie 收藏  |  浏览/下载：27/0  |  提交时间：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   Inter-comparison of several soil moisture downscaling methods over the Qinghai-Tibet Plateau, China 期刊论文 JOURNAL OF HYDROLOGY, 2021, 卷号: 592, 页码: 21 作者:  Qu, Yuquan;  Zhu, Zhongli;  Montzka, Carsten;  Chai, Linna;  Liu, Shaomin 收藏  |  浏览/下载：25/0  |  提交时间：2021/07/09 Soil moisture  Downscaling  Methods comparison  Qinghai-Tibet plateau   Ensemble-based deep learning for estimating PM2.5 over California with multisource big data including wildfire smoke 期刊论文 ENVIRONMENT INTERNATIONAL, 2020, 卷号: 145, 页码: 16 作者:  Li, Lianfa;  Girguis, Mariam;  Lurmann, Frederick;  Pavlovic, Nathan;  McClure, Crystal 收藏  |  浏览/下载：122/0  |  提交时间：2021/03/16 PM2.5  Machine learning  Air pollution exposure  Wildfires  Remote sensing  California  High spatiotemporal resolution   Multi-Scale Residual Deep Network for Semantic Segmentation of Buildings with Regularizer of Shape Representation 期刊论文 REMOTE SENSING, 2020, 卷号: 12, 期号: 18, 页码: 21 作者:  Wang, Chengyi;  Li, Lianfa 收藏  |  浏览/下载：4/0  |  提交时间：2021/03/16 multiple scales  residual deep ensemble learning  regularizer  shape representation  semantic segmentation of buildings   Systematic comparison of five machine-learning models in classification and interpolation of soil particle size fractions using different transformed data 期刊论文 HYDROLOGY AND EARTH SYSTEM SCIENCES, 2020, 卷号: 24, 期号: 5, 页码: 2505-2526 作者:  Zhang, Mo;  Shi, Wenjiao;  Xu, Ziwei 收藏  |  浏览/下载：9/0  |  提交时间：2021/03/23 Comparison of additive and isometric log-ratio transformations combined with machine learning and regression kriging models for mapping soil particle size fractions 期刊论文 GEODERMA, 2020, 卷号: 365, 页码: 16 作者:  Wang, Zong;  Shi, Wenjiao;  Zhou, Wei;  Li, Xiaoyan;  Yue, Tianxiang 收藏  |  浏览/下载：7/0  |  提交时间：2020/05/19 Soil particle size fractions  Log-ratio transformation  Boosted regression tree  Random forest  Regression kriging   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 作者:  Li, Lianfa;  Franklin, Meredith;  Girguis, Mariam;  Lurmann, Frederick;  Wu, Jun 收藏  |  浏览/下载：13/0  |  提交时间：2020/05/19 Aerosol Optical Depth  MAIAC  MERRA-2 GMI Replay Simulation  Deep learning  Downscaling  Missingness imputation  Air quality