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 Geo-Spatial Information Processing and Application System Technology"
589 条 记 录,以下是401-410 订阅
排序:
DeepEraser: Deep Iterative Context Mining for Generic Text Eraser
arXiv
收藏 引用
arXiv 2024年
作者: Feng, Hao Wang, Wendi Liu, Shaokai Deng, Jiajun Zhou, Wengang Li, Houqiang 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 Hefei230027 China The University of Adelaide Australian Institute for Machine Learning Australia
In this work, we present DeepEraser, an effective deep network for generic text removal. DeepEraser utilizes a recurrent architecture that erases the text in an image via iterative operations. Our idea comes from the ... 详细信息
来源: 评论
Vibration Error Compensation Imaging Algorithm for Arc Array SAR Besed on Parameter Estimation
Vibration Error Compensation Imaging Algorithm for Arc Array...
收藏 引用
Asian and Pacific Conference on Synthetic Aperture Radar (APSAR)
作者: Yifan Dong Congfei Wu Wei Xu Pingping Huang Weixian Tan Wen Hong Inner Mongolia Key Laboratory of Radar Technology and Application Hohhot China Key Laboratory of Technology in Geospatial Information Processing and Application System Beijing Chian
Arc array synthetic aperture radar (SAR) is a novel array imaging system for wide-area observation, with wide observation range and high resolution. Arc array synthetic aperture radar uses W-band as carrier signal, an...
来源: 评论
A visually inspired variational method for automatic image registration
收藏 引用
Cehui Xuebao/Acta geodaetica et Cartographica Sinica 2015年 第8期44卷 893-899页
作者: Wang, Huixian Jin, Huijia Lei, Chengqiang Jiang, Wanshou Wang, Yan Key Laboratory of Technology in Geo-spatial Information Processing and Application System Institute of Electronics Chinese Academy of Sciences Beijing100190 China State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan430079 China Electronic & Optical Engineering Department Mechanical Engineering College Shijiazhuang050003 China Institute of Information in Remote Sensing in Beijing Beijing100192 China
A visually inspired variational method for automatic image registration is proposed to solve local deformation which traditional global registration model cannot well satisfy. The variational model considers local tra... 详细信息
来源: 评论
Prior-enlightened and motion-robust video deblurring
arXiv
收藏 引用
arXiv 2020年
作者: Zhou, Ya Xu, Jianfeng Tasaka, Kazuyuki Chena, Zhibo Li, Weiping CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230026 China KDDI Research Inc. Fujimino-shi Saitama356-8502 Japan
Various blur distortions in video will cause negative impact on both human viewing and video-based applications, which makes motion-robust deblurring methods urgently needed. Most existing works have strong dataset de... 详细信息
来源: 评论
Unambiguous Imaging for Moving Targets in Maritime Scenarios with Dual Receive Channel Mode of GF-3 Satellite
Unambiguous Imaging for Moving Targets in Maritime Scenarios...
收藏 引用
Asian and Pacific Conference on Synthetic Aperture Radar (APSAR)
作者: Junying Yang Xiaolan Qiu Lihua Zhong Chibiao Ding Lijia Huang Hao Chen Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems Institute of Electronics Chinese Academy of Sciences Beijing China Fifth Laboratory Institute of Communication and Tracking Technology Beijing China
Gaofen-3 (GF-3) is the first Chinese multichannel synthetic aperture radar (SAR) sensor that can operate in the dual receive channel (DRC) mode. Different from the traditional single-channel SAR system, the multichann...
来源: 评论
Exploration of Image Search Results Quality Assessment
收藏 引用
IEEE Transactions on Big Data 2015年 第3期1卷 95-108页
作者: Tian, Xinmei Lu, Yijuan Stender, Nate Yang, Linjun Tao, Dacheng CAS Key Laboratory of Technology Geo-Spatial Information Processing and Application Systems University of Science and Technology of China Hefei230027 China Department of Computer Science Texas State University San MarcosTX78666 United States Department of Computer Science University of Nebraska-Lincoln LincolnNE68588 United States Microsoft Corporation RedmondWA98052-7329 United States Centre for Quantum Computation and Intelligent Systems Faculty of Engineering and Information Technology University of Technology Sydney UltimoNSW2007 Australia
Image retrieval plays an increasingly important role in our daily lives. There are many factors which affect the quality of image search results, including chosen search algorithms, ranking functions, and indexing fea... 详细信息
来源: 评论
Self-adaptive optical image registration based on optimized analysis of feature points
Self-adaptive optical image registration based on optimized ...
收藏 引用
第二届高分辨率对地观测学术年会
作者: Shi Yue Zhang Daobing Institute of Electronic Chinese Academy of SciencesBeijing 100190China Key Laboratory of Spatial Information Processing and Application System Technology Chinese Academy o
Image registration is an important preprocessing step for image processing such as change detection,image mosaicking in remote sensing,however a crucial problem involved feature-based image registration is how to reli... 详细信息
来源: 评论
Automatic Ship Detection of Remote Sensing Images from Google Earth in Complex Scenes Based on Multi-Scale Rotation Dense Feature Pyramid Networks
arXiv
收藏 引用
arXiv 2018年
作者: Yang, Xue Sun, Hao Fu, Kun Yang, Jirui Sun, Xian Yan, Menglong Guo, Zhi Key Laboratory of Technology in Geo-spatial Information Processing and Application System Institute of Electronics Chinese Academy of Sciences Beijing China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing
Ship detection has been playing a significant role in the field of remote sensing for a long time but it is still full of challenges. The main limitations of traditional ship detection methods usually lie in the compl... 详细信息
来源: 评论
Progressive unsupervised person re-identification by tracklet association with spatio-temporal regularization
arXiv
收藏 引用
arXiv 2019年
作者: Xie, Qiaokang Zhou, Wengang Qi, Guo-Jun Tian, Qi 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 Huawei Cloud EI Product Department Huawei Noah's Ark Laboratory
Existing methods for person re-identification (Re-ID) are mostly based on supervised learning which requires numerous manually labeled samples across all camera views for training. Such a paradigm suffers the scalabil... 详细信息
来源: 评论
Wave model based enhancement of SAR ocean images
Wave model based enhancement of SAR ocean images
收藏 引用
6th International Conference on Radar, RADAR 2011
作者: Zhang, Wen-Yi Li, Fang-Fang Hu, Dong-Hui Ding, Chi-Biao Zhong, Li-Hua Institute of Electronics Chinese Academy of Sciences Beijing 100190 China Graduate University Chinese Academy of Sciences Beijing 100039 China Key Laboratory of Spatial Information Processing and Application System Technology No. 19 North 4th Ring Road West Haidian District Beijing 100190 China
Enhanced SAR ocean images with dominant wave-like signatures might promote oceanographic applications. Therefore we develop a wave model based processor for wave features enhancement. Algorithm analysis and experiment... 详细信息
来源: 评论