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An Improved MAE-Based Pretraining Method for Urban Public Space Monitoring With Optical Remote Sensing Imagery 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2025, 卷号: 18, 页码: 16929-16941
作者:  Wei, Wentao;  Chen, Huan;  Jiang, Yu;  Fu, Li;  Yao, Ping
收藏  |  浏览/下载:50/0  |  提交时间:2025/12/03
Masked autoencoder (MAE)  remote sensing  semantic segmentation  semantic segmentation  urban public space  urban public space  urban public space  
Dual-Alignment CLIP: Task-Specific Alignment of Text and Visual Features for Few-Shot Remote Sensing Scene Classification 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2025, 卷号: 18, 页码: 19260-19272
作者:  Deng, Dongmei;  Yao, Ping
收藏  |  浏览/下载:37/0  |  提交时间:2025/12/03
Remote sensing  Scene classification  Visualization  Training  Manuals  Few shot learning  Feature extraction  Adaptation models  Training data  Streaming media  Contrastive vision-language pretraining (CLIP)  few-shot learning (FSL)  image classification  remote sensing  
MLAE: A Pretraining Method for Automatic Identification of Urban Public Space 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2023, 卷号: 20, 页码: 5
作者:  Cheng, Siyuan;  Chen, Huan;  Yao, Ping;  Song, Liuyi
收藏  |  浏览/下载:94/0  |  提交时间:2023/12/04
Image reconstruction  Task analysis  Remote sensing  Feature extraction  Computational modeling  Training  Decoding  MixLabel antoencoder  remote sensing  semantic segmentation  urban public space  
A Deep Learning Method Based on Two-Stage CNN Framework for Recognition of Chinese Reservoirs with Sentinel-2 Images 期刊论文
WATER, 2022, 卷号: 14, 期号: 22, 页码: 21
作者:  Zhao, Guodongfang;  Yao, Ping;  Fu, Li;  Zhang, Zhibin;  Lu, Shanlong;  Long, Tengfei
收藏  |  浏览/下载:117/0  |  提交时间:2023/07/12
two-stage CNN framework  recognition of reservoirs  remote sensing  deep learning  Sentinel-2  object detection