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浏览/检索结果: 共31条，第1-10条 帮助 限定条件 发表日期：2020    内容类型：期刊论文    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 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 作者:  Li, Mingxiao;  Lu, Feng;  Zhang, Hengcai;  Chen, Jie 收藏  |  浏览/下载：13/0  |  提交时间：2020/05/19 Location prediction  fuzzy space partition  mobile phone data  trajectory data mining  deep learning   Automatic extraction of wheat lodging area based on transfer learning method and deeplabv3+network 期刊论文 COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 卷号: 179, 页码: 8 作者:  Zhang, Dongyan;  Ding, Yang;  Chen, Pengfei;  Zhang, Xiangqian;  Pan, Zhenggao 收藏  |  浏览/下载：92/0  |  提交时间：2021/03/15 Wheat lodging  Multiple growth stages  Deep learning  Transfer learning  DeepLabv3+network   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：123/0  |  提交时间：2021/03/16 PM2.5  Machine learning  Air pollution exposure  Wildfires  Remote sensing  California  High spatiotemporal resolution   A PM2.5 concentration prediction model based on multi-task deep learning for intensive air quality monitoring stations 期刊论文 JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 275, 页码: 13 作者:  Zhang, Qiang;  Wu, Shun;  Wang, Xiangwen;  Sun, Binzhen;  Liu, Haimeng 收藏  |  浏览/下载：18/0  |  提交时间：2021/03/16 PM(2.5)prediction  Multi-task deep learning  Artificial intelligence  Intensive monitoring stations  Lanzhou city   Aligning geographic entities from historical maps for building knowledge graphs 期刊论文 INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2020, 页码: 30 作者:  Sun, Kai;  Hu, Yingjie;  Song, Jia;  Zhu, Yunqiang 收藏  |  浏览/下载：11/0  |  提交时间：2021/03/16 Historical map  geographic knowledge graph  geographic entity alignment  geospatial data matching  map conflation   Wild animal survey using UAS imagery and deep learning: modified Faster R-CNN for kiang detection in Tibetan Plateau 期刊论文 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 169, 页码: 364-376 作者:  Peng, Jinbang;  Wang, Dongliang;  Liao, Xiaohan;  Shao, Quanqin;  Sun, Zhigang 收藏  |  浏览/下载：113/0  |  提交时间：2021/03/16 Wild animal survey  Deep learning  Object detection  Unmanned aircraft systems (UAS)   Deep learning: To better understand how human activities affect the value of ecosystem services-A case study of Nanjing 期刊论文 PLOS ONE, 2020, 卷号: 15, 期号: 10, 页码: 16 作者:  Liu, Chang;  Qi, Yi;  Wang, Zhenbo;  Yu, Junlan;  Li, Shan 收藏  |  浏览/下载：11/0  |  提交时间：2021/03/16 Internal Learning for Image Super-Resolution by Adaptive Feature Transform 期刊论文 SYMMETRY-BASEL, 2020, 卷号: 12, 期号: 10, 页码: 19 作者:  He, Yifan;  Cao, Wei;  Du, Xiaofeng;  Chen, Changlin 收藏  |  浏览/下载：10/0  |  提交时间：2021/03/16 super-resolution  internal learning  feature transform  deep convolutional neural network   High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data 期刊论文 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2020, 卷号: 92, 页码: 14 作者:  Li, Wang;  Niu, Zheng;  Shang, Rong;  Qin, Yuchu;  Wang, Li 收藏  |  浏览/下载：23/0  |  提交时间：2021/03/18 Forest canopy height  ICESat-2  Sentinel-1  Sentinel-2  Landsat-8  Machine-learning  Deep-learning  Random forest   A Novel Model Integrating Deep Learning for Land Use/Cover Change Reconstruction: A Case Study of Zhenlai County, Northeast China 期刊论文 REMOTE SENSING, 2020, 卷号: 12, 期号: 20, 页码: 22 作者:  Yubo, Zhang;  Zhuoran, Yan;  Jiuchun, Yang;  Yuanyuan, Yang;  Dongyan, Wang 收藏  |  浏览/下载：9/0  |  提交时间：2021/03/16 land use  change spatiotemporal modeling  deep learning model integration