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筛选

浏览/检索结果: 共60条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序题名升序题名降序作者升序作者降序发表日期升序发表日期降序 U-SeqNet: learning spatiotemporal mapping relationships for multimodal multitemporal cloud removal 期刊论文  OAI收割 GISCIENCE & REMOTE SENSING, 2024, 卷号: 61, 期号: 1, 页码: 19 作者:  Zhang, Qian;  Liu, Xiangnan;  Peng, Tao;  Yang, Xiao;  Tang, Mengzhen   |  收藏  |  浏览/下载：2/0  |  提交时间：2024/04/19 Missing information reconstruction  optical time series data  SAR-to-optical translation  spatiotemporal mapping  deep learning   Historical and projected evolutions of glaciers in response to climate change in High Mountain Asia 期刊论文  OAI收割 ENVIRONMENTAL RESEARCH, 2023, 卷号: 237, 页码: 13 作者:  Yang, Lin;  Zhao, Guangju;  Mu, Xingmin;  Liu, Yanli;  Tian, Peng   |  收藏  |  浏览/下载：13/0  |  提交时间：2023/10/23 NDSI  Glacier changes  OGGM  Melt runoff  General circulation models   Seasonal fluctuations of marsh wetlands in the headwaters of the Brahmaputra, Ganges, and Indus Rivers, Tibetan Plateau based on the adapted LandTrendr model 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2023, 卷号: 152, 页码: 110360 作者:  Liu, Qionghuan;  Liu, Linshan;  Zhang, Yili;  Wang, Zhaofeng;  Guo, Renzhong   |  收藏  |  浏览/下载：15/0  |  提交时间：2023/07/14 Marsh wetlands  Seasonal fluctuations  Adapted LandTrendr  Remote sensing  Tibetan Plateau   A Transformer-based method to reduce cloud shadow interference in automatic lake water surface extraction from Sentinel-2 imagery 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2023, 卷号: 620, 页码: 129561 作者:  Yan, Xiangbing;  Song, Jia;  Liu, Yangxiaoyue;  Lu, Shanlong;  Xu, Yuyue   |  收藏  |  浏览/下载：10/0  |  提交时间：2023/06/10 Lake extraction  Deep learning  Cloud shadow  Transformer  Semantic segmentation   The Effect of Negative Samples on the Accuracy of Water Body Extraction Using Deep Learning Networks 期刊论文  OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 2, 页码: 17 作者:  Song, Jia;  Yan, Xiangbing   |  收藏  |  浏览/下载：11/0  |  提交时间：2023/02/27 water body extraction  deep learning  negative sample  cloud shadow interference  semantic segmentation   A Priori Land Surface Reflectance Synergized With Multiscale Features Convolution Neural Network for MODIS Imagery Cloud Detection 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, 卷号: 16, 页码: 3294-3308 作者:  Ma, Nan;  Sun, Lin;  Zhou, Chenghu;  He, Yawen;  Dong, Chuanxiang   |  收藏  |  浏览/下载：8/0  |  提交时间：2023/10/09 Cloud detection  difference-based samples  land surface reflectance (LSR) dataset  moderate resolution imaging spectrometer (MODIS)  multiscale feature   The Effect of Negative Samples on the Accuracy of Water Body Extraction Using Deep Learning Networks 期刊论文  OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 2, 页码: 17 作者:  Song, Jia;  Yan, Xiangbing   |  收藏  |  浏览/下载：11/0  |  提交时间：2023/02/27 water body extraction  deep learning  negative sample  cloud shadow interference  semantic segmentation   Reconstruction of land surface temperature under cloudy conditions from Landsat 8 data using annual temperature cycle model 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 281, 页码: 16 作者:  Zhu, Xiaolin;  Duan, Si-Bo;  Li, Zhao-Liang;  Wu, Penghai;  Wu, Hua   |  收藏  |  浏览/下载：29/0  |  提交时间：2022/11/09 Land surface temperature  Cloudy conditions  Annual temperature cycle model  Landsat 8   phenofit: An R package for extracting vegetation phenology from time series remote sensing 期刊论文  OAI收割 METHODS IN ECOLOGY AND EVOLUTION, 2022, 页码: 20 作者:  Kong, Dongdong;  McVicar, Tim R.;  Xiao, Mingzhong;  Zhang, Yongqiang;  Pena-Arancibia, Jorge L.   |  收藏  |  浏览/下载：15/0  |  提交时间：2022/09/21 cloud contamination  R language  satellite data  time series reconstruction  vegetation indices  vegetation phenology   Cloud Detection Algorithm for Multi-Satellite Remote Sensing Imagery Based on a Spectral Library and 1D Convolutional Neural Network 期刊论文  OAI收割 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：27/0  |  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