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检索条件"机构=Key Laboratory of Technology in Geospatial Information and Application System"
823 条 记 录,以下是341-350 订阅
排序:
Multi-scale grouped dense network for VVC intra coding
arXiv
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arXiv 2020年
作者: Li, Xin Sun, Simeng Zhang, Zhizheng Chen, Zhibo CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China
Versatile Video Coding (H.266/VVC) standard achieves better image quality when keeping the same bits than any other conventional image codec, such as BPG, JPEG, and etc. However, it is still attractive and challenging... 详细信息
来源: 评论
Spatial distribution of rare earth elements and their impact factors in an area with a high abundance of regolith-hosted deposits
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Chemosphere 2024年 352卷 141374页
作者: Lin, Zhuoling Zhang, Yaduo Liang, Xiaoliang Huang, Guangqing Fan, Fenglei Yin, Xiaoling Chen, Zhihao Guangzhou Institute of Geochemistry Chinese Academy of Sciences Guangzhou 510640 China Guangdong Public Laboratory of Geospatial Information Technology and Application Guangzhou Institute of Geography Guangdong Academy of Sciences Guangzhou 510070 China University of Chinese Academy of Sciences Beijing 100049 China School of Geography South China Normal University Guangzhou 510631 China Guangdong Provincial Key Laboratory of Mineral Physics and Material Research & Development Guangzhou 510640 China College of Natural Resources and Environment South China Agricultural University Guangzhou 510642 China
Despite the widespread occurrence of regolith-hosted rare earth elements (REEs) across South China, their spatial distribution characteristics in soils and their impact factors remain largely uncertain. This knowledge... 详细信息
来源: 评论
Texture-enhanced Light Field Super-resolution with Spatio-Angular Decomposition Kernels
arXiv
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arXiv 2021年
作者: Hu, Zexi Chen, Xiaoming Wing, Henry Yeung, Fung Chung, Yuk Ying Chen, Zhibo School of Computer Science University of Sydney Australia School of Computer Science and Engineering Beijing Technology and Business University China CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China China
Despite the recent progress in light field super-resolution (LFSR) achieved by convolutional neural networks, the correlation information of light field (LF) images has not been sufficiently studied and exploited due ... 详细信息
来源: 评论
MSight: An Edge-Cloud Infrastructure-based Perception system for Connected Automated Vehicles
arXiv
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arXiv 2023年
作者: Zhang, Rusheng Meng, Depu Shen, Shengyin Zou, Zhengxia Li, Houqiang Liu, Henry X. The Department of Civil and Environmental Engineering University of Michigan Ann ArborMI48109 United States The University of Michigan Transportation Research Institude 2901 Baxer Rd Ann ArborMI48109 United States The Department of Guidance Navigation and Control School of Astronautics Beihang University Beijing100191 China The CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Department of Electronic Engineering and Information Science University of Science and Technology of China Hefei China Mcity University of Michigan Ann ArborMI48109 United States
As vehicular communication and networking technologies continue to advance, infrastructure-based roadside perception emerges as a pivotal tool for connected automated vehicle (CAV) applications. Due to their elevated ... 详细信息
来源: 评论
Multi-Aspect SAR Target Recognition Based on Efficientnet and GRU
Multi-Aspect SAR Target Recognition Based on Efficientnet an...
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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
作者: Pengfei Zhao Lijia Huang Key Laboratory of Technology in Geo-spatial Information Processing and Application System Chinese of Sciences Beijing China
Automatic target recognition (ATR) in synthetic aperture radar (SAR) has been extensively applied in military and civilian fields recently. However, SAR images are very sensitive to the azimuth of the imaging, and the... 详细信息
来源: 评论
Sea-water-level prediction via combined wavelet decomposition,neuro-fuzzy and neural networks using SLA and wind information
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Acta Oceanologica Sinica 2020年 第5期39卷 157-167页
作者: Bao Wang Bin Wang Wenzhou Wu Changbai Xi Jiechen Wang School of Geography and Ocean Science Nanjing UniversityNanjing 210023China National Marine Environmental Forecasting Center Beijing 100081China Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology Nanjing UniversityNanjing 210023China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing UniversityNanjing 210023China
Sea-water-level(SWL)prediction significantly impacts human lives and maritime activities in coastal regions,particularly at offshore locations with shallow water ***-term SWL forecasts,which are conventionally obtaine... 详细信息
来源: 评论
Spatial Distribution of Rare Earth Elements and Their Impact Factors in an Area with a High Abundance of Regolith-Hosted Deposits
SSRN
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SSRN 2023年
作者: Lin, Zhuoling Zhang, Yaduo Liang, Xiaoliang Huang, Guangqing Fan, Fenglei Yin, Xiaoling Chen, Zhihao Guangzhou Institute of Geochemistry Chinese Academy of Sciences Guangzhou510640 China Guangdong Public Laboratory of Geospatial Information Technology and Application Guangzhou Institute of Geography Guangdong Academy of Sciences Guangzhou510070 China School of Geography South China Normal University Guangzhou510631 China University of Chinese Academy of Sciences Beijing100049 China Guangdong Provincial Key Laboratory of Mineral Physics and Material Research & Development Guangzhou510640 China College of Natural Resources and Environment South China Agricultural University Guangzhou510642 China
Rare earth elements (REEs) are critical metals for manufacturing numerous high-tech products, but at high concentrations, pose potential hazards owing to their toxicity to animals and human health. Despite the widespr... 详细信息
来源: 评论
Automatic Extraction of Supraglacial Lake using SAR Imagery and Deep Learning
Automatic Extraction of Supraglacial Lake using SAR Imagery ...
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IEEE International Conference on Radar
作者: Jiang Di Li Xinwu Gong Chen Hong Wen Wu Yirong Aerospace Information Research Institute Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing China Key Laboratory of Technology in Geo-spatial Information Processing and Application System Chinese Academy of Sciences Beijing China Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing China
Supraglacial lake plays an important role in ice sheet dynamics, mass balance and sea level rise. Therefore, it is of great importance to extract supraglacial lake and obtain its spatial-temporal distribution or chang... 详细信息
来源: 评论
High-precision inversion of vegetation parameters in the AI era: Integrating hyperspectral remote sensing and deep learning
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Innovation 2025年 第6期6卷
作者: Hu, Jinkang Peng, Dailiang Chen, Jing M. Huete, Alfredo R. Yu, Le Lou, Zihang Cheng, Enhui Yang, Xuan Zhang, Bing Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China International Research Center of Big Data for Sustainable Development Goals Beijing100094 China College of Resource and Environment University of Chinese Academy of Sciences Beijing100094 China School of Geographical Sciences Fujian Normal University Fuzhou350117 China Department of Geography and Planning University of Toronto TorontoONM5S 3G3 Canada School of Life Sciences University of Technology Sydney UltimoNSW2007 Australia Department of Earth System Science Ministry of Education Key Laboratory for Earth System Modeling Institute for Global Change Studies Tsinghua University Beijing100084 China Institute of Agricultural Remote Sensing and Information Technology Application College of Environmental and Resource Sciences Zhejiang University Hangzhou310058 China China Remote Sensing Satellite Ground Station Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China
来源: 评论
Electromagnetic Simulation Aided SAR Target Classification Via Deep Domain Adaptation
Electromagnetic Simulation Aided SAR Target Classification V...
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IEEE International Conference on Radar
作者: Xiaoling Lv Xiaolan Qiu Wenming Yu Aerospace Information Research Institute Chinese Academy of Sciences School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing China Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Suzhou Aerospace Information Research Institute Suzhou China State key Laboratory of Millimeter Waves Southeast University Nanjing China
Convolutional neural networks (CNNs) have made tremendous success in optical images classification recently. However, in synthetic aperture radar (SAR) target classification, it is difficult to annotate a large amount... 详细信息
来源: 评论