中国科学院计算技术研究所机构知识库

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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：5/0  |  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
	Efficient Time-Series InSAR Data Processing via Modular Cloud-Native Parallelization 期刊论文 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2025, 卷号: 18, 页码: 14240-14257 作者:  Yu, Peichen;  Wang, Chao;  Tang, Yixian;  Zhang, Weikang;  Zou, Lichuan;  Guan, Shaoyang;  You, Haihang;  Zhang, Hong 收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03 Cloud computing  Computer architecture  Scalability  Resource management  Microservice architectures  Containers  Remote sensing  Operating systems  Elasticity  Dynamic scheduling  Cloud native  interferometry  parallelization  synthetic aperture radar (SAR)
	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：5/0  |  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
	Recognizing Global Dams From High-Resolution Remotely Sensed Images Using Convolutional Neural Networks 期刊论文 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 6363-6371 作者:  Fang, Weizhen;  Sun, Yiyuan;  Ji, Rui;  Wan, Wei;  Ma, Lei 收藏  |  浏览/下载：63/0  |  提交时间：2021/12/01 Dams  Image recognition  Remote sensing  Earth  Training  Internet  Object recognition  Convolutional neural networks (CNNs)  dams  deep learning  Google earth  object recognition
	Real-Time Big Data Analytical Architecture for Remote Sensing Application 期刊论文 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2015, 卷号: 8, 期号: 10, 页码: 4610-4621 作者:  Rathore, Muhammad Mazhar Ullah;  Paul, Anand;  Ahmad, Awais;  Chen, Bo-Wei;  Huang, Bormin;  Ji, Wen 收藏  |  浏览/下载：69/0  |  提交时间：2019/12/13 Big Data  data analysis decision unit (DADU)  data processing unit (DPU)  land and sea area  offline  real-time  remote senses  remote sensing Big Data acquisition unit (RSDU)