咨询与建议

限定检索结果

文献类型

  • 374 篇 会议
  • 215 篇 期刊文献

馆藏范围

  • 589 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 386 篇 工学
    • 185 篇 信息与通信工程
    • 161 篇 计算机科学与技术...
    • 134 篇 软件工程
    • 70 篇 控制科学与工程
    • 69 篇 仪器科学与技术
    • 47 篇 电子科学与技术(可...
    • 43 篇 光学工程
    • 43 篇 环境科学与工程(可...
    • 40 篇 生物工程
    • 39 篇 测绘科学与技术
    • 31 篇 电气工程
    • 24 篇 机械工程
    • 24 篇 航空宇航科学与技...
    • 16 篇 土木工程
    • 15 篇 网络空间安全
    • 14 篇 建筑学
    • 12 篇 材料科学与工程(可...
    • 8 篇 化学工程与技术
  • 198 篇 理学
    • 104 篇 数学
    • 50 篇 物理学
    • 43 篇 生物学
    • 30 篇 统计学(可授理学、...
    • 25 篇 化学
    • 11 篇 大气科学
    • 9 篇 地球物理学
    • 8 篇 系统科学
    • 7 篇 地质学
  • 45 篇 管理学
    • 23 篇 图书情报与档案管...
    • 19 篇 管理科学与工程(可...
  • 34 篇 农学
    • 33 篇 农业资源与环境
  • 5 篇 医学
  • 2 篇 经济学
  • 2 篇 艺术学
  • 1 篇 法学
  • 1 篇 军事学

主题

  • 72 篇 synthetic apertu...
  • 27 篇 feature extracti...
  • 26 篇 radar polarimetr...
  • 25 篇 training
  • 22 篇 image coding
  • 22 篇 remote sensing
  • 21 篇 radar imaging
  • 17 篇 object detection
  • 16 篇 semantics
  • 15 篇 visualization
  • 15 篇 satellites
  • 15 篇 encoding
  • 15 篇 image reconstruc...
  • 14 篇 imaging
  • 14 篇 deep neural netw...
  • 14 篇 three-dimensiona...
  • 14 篇 mathematical mod...
  • 13 篇 scattering
  • 13 篇 image resolution
  • 12 篇 deep learning

机构

  • 139 篇 cas key laborato...
  • 65 篇 aerospace inform...
  • 56 篇 school of electr...
  • 55 篇 key laboratory o...
  • 49 篇 institute of ele...
  • 45 篇 university of ch...
  • 34 篇 key laboratory o...
  • 24 篇 department of au...
  • 23 篇 key laboratory o...
  • 15 篇 suzhou aerospace...
  • 13 篇 the cas key labo...
  • 13 篇 key laboratory o...
  • 12 篇 key laboratory o...
  • 11 篇 key laboratory o...
  • 10 篇 key laboratory o...
  • 10 篇 graduate univers...
  • 9 篇 microsoft resear...
  • 8 篇 cas key laborato...
  • 8 篇 school of resour...
  • 8 篇 national key lab...

作者

  • 45 篇 chen zhibo
  • 42 篇 qiu xiaolan
  • 34 篇 li houqiang
  • 31 篇 xiaolan qiu
  • 29 篇 ding chibiao
  • 26 篇 dong liu
  • 25 篇 liu dong
  • 23 篇 zhibo chen
  • 23 篇 houqiang li
  • 22 篇 li li
  • 21 篇 chibiao ding
  • 20 篇 zhou wengang
  • 20 篇 zhang zhe
  • 19 篇 zhou wei
  • 18 篇 wu yirong
  • 17 篇 yu kang
  • 17 篇 zhang bingchen
  • 17 篇 feng wu
  • 16 篇 hong wen
  • 15 篇 li xin

语言

  • 569 篇 英文
  • 11 篇 中文
  • 8 篇 其他
检索条件"机构=Key Laboratory of Technology in Geo-spatial Information Processing and Application System"
589 条 记 录,以下是421-430 订阅
排序:
Degradable film mulching increases soil carbon sequestration in major Chinese dryland agroecosystems
收藏 引用
Nature communications 2025年 第1期16卷 5029页
作者: Zihan Liu Chenxu Zhao Nanhai Zhang Jing Wang Zhaoyang Li Yves Uwiragiye Nyumah Fallah Thomas W Crowther Yuanyuan Huang Yi Xu Sheng Zhang Yakov Kuzyakov Kadambot H M Siddique Zhikuan Jia Zucong Cai Scott X Chang Minggang Xu Christoph Müller Yi Cheng School of Geography Nanjing Normal University 210023 Nanjing China. College of Agronomy Northwest A&F University 712100 Yangling China. Co-Innovation Center for Sustainable Forestry in Southern China College of Forestry Nanjing Forestry University 210037 Nanjing China. Department of Environmental Systems Science Institute of Integrative Biology ETH Zurich Zurich 8092 Switzerland. Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences 100101 Beijing China. College of Agronomy and Biotechnology China Agricultural University 100193 Beijing China. Geo-Biosphere Interactions Department of Geosciences University of Tübingen Tübingen 72076 Germany. Institute of Soil Science Chinese Academy of Sciences 210008 Nanjing China. Department of Soil Science of Temperate Ecosystems Department of Agricultural Soil Science University of Göttingen Göttingen 37077 Germany. Peoples Friendship University of Russia (RUDN University) Moscow 117198 Russia. The UWA Institute of Agriculture The University of Western Australia Perth WA 6001 Australia. College of Agronomy Northwest A&F University 712100 Yangling China. jiazhk@***. Department of Renewable Resources University of Alberta Edmonton AB T6G 2E3 Canada. Shanxi Province Key Laboratory of Soil Environment and Nutrient Resources Engineer and Technology Academy of Ecology and Environment Shanxi Agricultural University 030031 Taiyuan China. State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China Key Laboratory of Arable Land Quality Monitoring and Evaluation Ministry of Agriculture and Rural Affairs Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences 100081 Beijing China. Liebig Centre of Agroecology and Climate Impact Research Justus Liebig University Giessen Giessen 35392 Germany. Institute of Plant Ecology Justus Liebig Univer
Plastic film mulching (PM), which contributes to nearly half of the increased crop yields in dryland agroecosystems, exacerbates environmental burdens due to its non-degradable nature. Globally, there is a growing dem...
来源: 评论
Sign language recognition with multi-modal features  17th
Sign language recognition with multi-modal features
收藏 引用
17th Pacific-Rim Conference on Multimedia, PCM 2016
作者: Pu, Junfu Zhou, Wengang Li, Houqiang 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 Hefei230027 China
We study the problem of recognizing sign language automatically using the RGB videos and skeleton coordinates captured by Kinect, which is of great significance in communication between the deaf and the hearing societ... 详细信息
来源: 评论
Comparative deep learning of hybrid representations for image recommendations
Comparative deep learning of hybrid representations for imag...
收藏 引用
2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016
作者: Lei, Chenyi Liu, Dong Li, Weiping Zha, Zheng-Jun Li, Houqiang CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
In many image-related tasks, learning expressive and discriminative representations of images is essential, and deep learning has been studied for automating the learning of such representations. Some user-centric tas... 详细信息
来源: 评论
The basic equation for target detection in remote sensing
arXiv
收藏 引用
arXiv 2017年
作者: Geng, Xiurui Ji, Luyan Zhao, Yongchao Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Institute of Electronics Chinese Academy of Sciences Beijing100190 China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences 100049 China Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Tsinghua University
Our research has revealed a hidden relationship among several basic components, which leads to the best target detection result. Further, we have proved that the matched filter (MF) is always superior to the constrain... 详细信息
来源: 评论
Recent Advance in Content-based Image Retrieval: A literature survey
arXiv
收藏 引用
arXiv 2017年
作者: Zhou, Wengang Li, Houqiang Fellow, Tian I.E.E.E. 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 Hefei230027 China Department of Computer Science University of Texas San Antonio San AntonioTX78249 United States
—The explosive increase and ubiquitous accessibility of visual data on the Web have led to the prosperity of research activity in image search or retrieval. With the ignorance of visual content as a ranking clue, met... 详细信息
来源: 评论
$\mathcal {H}$ Distribution for Multilook Polarimetric SAR Data
收藏 引用
IEEE geoscience and Remote Sensing Letters 2017年 第4期14卷 489-493页
作者: Chi Liu Heng-Chao Li Xian Sun William J. Emery Sichuan Provincial Key Laboratory of Information Coding and Transmission Southwest Jiaotong University Chengdu China Key Laboratory of Spatial Information Processing and Application System Technology Institute of Electronics Chinese Academy of Sciences Beijing China Department of Aerospace Engineering Sciences University of Colorado Boulder CO USA
Polarimetric synthetic aperture radar (PolSAR) is an advanced imaging radar system, for which the acquired data provide not only the information of each channel but also the correlation between channels. To fully util... 详细信息
来源: 评论
Linear distance preserving pseudo-supervised and unsupervised hashing  16
Linear distance preserving pseudo-supervised and unsupervise...
收藏 引用
24th ACM Multimedia Conference, MM 2016
作者: Wang, Min Zhou, Wengang Tian, Qi Zha, Zhengjun Li, Houqiang CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China China Computer Science Department University of Texas at San Antonio United States
With the advantage in compact representation and efficient comparison, binary hashing has been extensively investigated for approximate nearest neighbor search. In this paper, we propose a novel and general hashing fr... 详细信息
来源: 评论
Visual analyses of music download history: User studies  22nd
Visual analyses of music download history: User studies
收藏 引用
22nd International Conference on MultiMedia Modeling, MMM 2016
作者: Liu, Dong Zhang, Jingxian CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China Department of Computer Science University of Illinois at Urbana-Champaign ChampaignIL United States
Users’ download history is a primary data source for analyzing user interests. Recent work has shown that user interests are indeed time varying, and accurate profiling of user interest drifts requires the temporal d... 详细信息
来源: 评论
Convolutional neural network-based block up-sampling for intra frame coding
arXiv
收藏 引用
arXiv 2017年
作者: Li, Yue Liu, Dong Li, Houqiang Li, Li Wu, Feng Zhang, Hong Yang, Haitao CAS Key Laboratory of Technology in Geo-Spatial Information Processing Application System University of Science Technology of China Hefei230027 China University of Missouri-Kansas City 5100 Rockhill Road Kansas CityMO64111 United States Media Technology Laboratory Central Research Institute of Huawei Technologies Co. Ltd Shenzhen518129 China
—Inspired by the recent advances of image super-resolution using convolutional neural network (CNN), we propose a CNN-based block up-sampling scheme for intra frame coding. A block can be down-sampled before being co... 详细信息
来源: 评论
Transform-invariant convolutional neural networks for image classification and search  24
Transform-invariant convolutional neural networks for image ...
收藏 引用
24th ACM Multimedia Conference, MM 2016
作者: Shen, Xu Tian, Xinmei He, Anfeng Sun, Shaoyan Tao, Dacheng CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei Anhui230027 China Centre for Quantum Computation and Intelligent Systems Faculty of Engineering and Information Technology University of Technology SydneyNSW2007 Australia
Convolutional neural networks (CNNs) have achieved stateof-the-art results on many visual recognition tasks. However, current CNN models still exhibit a poor ability to be invariant to spatial transformations of image... 详细信息
来源: 评论