咨询与建议

限定检索结果

文献类型

  • 336 篇 会议
  • 191 篇 期刊文献

馆藏范围

  • 527 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 344 篇 工学
    • 169 篇 信息与通信工程
    • 150 篇 计算机科学与技术...
    • 129 篇 软件工程
    • 61 篇 控制科学与工程
    • 55 篇 仪器科学与技术
    • 41 篇 光学工程
    • 38 篇 电子科学与技术(可...
    • 36 篇 生物工程
    • 33 篇 环境科学与工程(可...
    • 30 篇 测绘科学与技术
    • 24 篇 电气工程
    • 24 篇 航空宇航科学与技...
    • 21 篇 机械工程
    • 14 篇 土木工程
    • 13 篇 建筑学
    • 12 篇 网络空间安全
    • 9 篇 材料科学与工程(可...
    • 8 篇 动力工程及工程热...
    • 7 篇 化学工程与技术
  • 172 篇 理学
    • 92 篇 数学
    • 44 篇 物理学
    • 38 篇 生物学
    • 27 篇 统计学(可授理学、...
    • 20 篇 化学
    • 8 篇 大气科学
    • 7 篇 地球物理学
    • 7 篇 系统科学
  • 38 篇 管理学
    • 19 篇 图书情报与档案管...
    • 18 篇 管理科学与工程(可...
  • 26 篇 农学
    • 26 篇 农业资源与环境
  • 4 篇 医学
  • 2 篇 经济学
  • 2 篇 艺术学
  • 1 篇 法学
  • 1 篇 军事学

主题

  • 64 篇 synthetic apertu...
  • 26 篇 feature extracti...
  • 24 篇 radar polarimetr...
  • 24 篇 training
  • 23 篇 remote sensing
  • 22 篇 image coding
  • 18 篇 radar imaging
  • 16 篇 image reconstruc...
  • 15 篇 three-dimensiona...
  • 15 篇 visualization
  • 15 篇 semantics
  • 15 篇 satellites
  • 15 篇 encoding
  • 13 篇 object detection
  • 13 篇 mathematical mod...
  • 12 篇 deep neural netw...
  • 12 篇 image segmentati...
  • 12 篇 decoding
  • 12 篇 image resolution
  • 11 篇 imaging

机构

  • 139 篇 cas key laborato...
  • 58 篇 aerospace inform...
  • 55 篇 key laboratory o...
  • 55 篇 school of electr...
  • 45 篇 institute of ele...
  • 41 篇 university of ch...
  • 34 篇 key laboratory o...
  • 23 篇 key laboratory o...
  • 20 篇 department of au...
  • 14 篇 suzhou aerospace...
  • 13 篇 the cas key labo...
  • 13 篇 key laboratory o...
  • 12 篇 key laboratory o...
  • 10 篇 microsoft resear...
  • 10 篇 key laboratory o...
  • 10 篇 graduate univers...
  • 8 篇 cas key laborato...
  • 8 篇 national key lab...
  • 7 篇 key laboratory o...
  • 7 篇 the cas key labo...

作者

  • 44 篇 chen zhibo
  • 43 篇 qiu xiaolan
  • 33 篇 xiaolan qiu
  • 32 篇 li houqiang
  • 30 篇 ding chibiao
  • 26 篇 dong liu
  • 25 篇 liu dong
  • 23 篇 zhibo chen
  • 23 篇 houqiang li
  • 22 篇 li li
  • 22 篇 chibiao ding
  • 18 篇 zhang zhe
  • 18 篇 zhou wei
  • 17 篇 zhou wengang
  • 17 篇 wu yirong
  • 17 篇 feng wu
  • 16 篇 zhang bingchen
  • 15 篇 li xin
  • 15 篇 bin lei
  • 14 篇 yu kang

语言

  • 513 篇 英文
  • 8 篇 中文
  • 5 篇 其他
检索条件"机构=Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems"
527 条 记 录,以下是301-310 订阅
排序:
A generalization theory based on independent and task-identically distributed assumption
arXiv
收藏 引用
arXiv 2019年
作者: Zheng, Guanhua Sang, Jitao Li, Houqiang Yu, Jian Xu, Changsheng University of Science and Technology of China School of Computer and Information Technology Beijing Key Laboratory of Traffic Data Analysis and Mining Beijing Jiaotong University Beijing100044 China Chinese Academy of Sciences Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Hefei230026 China National Lab of Pattern Recognition Institute of Automation CAS Beijing100190 China University of Chinese Academy of Sciences
—Existing generalization theories analyze the generalization performance mainly based on the model complexity and training process. The ignorance of the task properties, which results from the widely used IID assumpt... 详细信息
来源: 评论
A TOPSAR Calibration Method For processing System Of GF3 Next Generation
A TOPSAR Calibration Method For Processing System Of GF3 Nex...
收藏 引用
Asian and Pacific Conference on Synthetic Aperture Radar (APSAR)
作者: Di Yin Bing Han Jili Sun Aiping Chen Liangbo Zhao Xinzhe Yuan Lihua Zhong Yuxin Hu University of Chinese Academy of Sciences Beijing China Institute of Electronics Chinese Academy of Sciences Beijing China Beijing Institute of Telemetry and Telecommunications Technology Beijing China Chinese Academy of Space Technology China Beijing China National Satellite Ocean Application Service State Oceanic Administration Beijing China Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems Institute of Electronics Chinese Academy of Sciences Beijing China
TOPSAR is an earth-imaging technique, which can provide wide swath coverage. The paper introduces a TOPSAR focusing and calibrating experiment based on the TOPSAR data acquired by Gaofen3(GF3). In this paper, we first...
来源: 评论
Learning based Facial Image Compression with Semantic Fidelity Metric
arXiv
收藏 引用
arXiv 2018年
作者: Chen, Zhibo He, Tianyu CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China
Surveillance and security scenarios usually require high efficient facial image compression scheme for face recognition and identification. While either traditional general image codecs or special facial image compres... 详细信息
来源: 评论
Generative Adversarial Network-Based Frame Extrapolation for Video Coding
Generative Adversarial Network-Based Frame Extrapolation for...
收藏 引用
IEEE Visual Communications and Image processing (VCIP)
作者: Jianping Lin Dong Liu Houqiang Li Feng Wu CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei China
Motion estimation and motion compensation are fundamental in video coding to remove the temporal redundancy between video frames. The current video coding schemes usually adopt block-based motion estimation and compen... 详细信息
来源: 评论
End-to-End Facial Image Compression with Integrated Semantic Distortion Metric
End-to-End Facial Image Compression with Integrated Semantic...
收藏 引用
IEEE Visual Communications and Image processing (VCIP)
作者: Tianyu He Zhibo Chen CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China
High efficient facial image compression is broadly required and challenging for surveillance and security scenarios, while either traditional general image codecs or special facial image compression schemes only heuri... 详细信息
来源: 评论
A CNN-Based In-Loop Filter with CU Classification for HEVC
A CNN-Based In-Loop Filter with CU Classification for HEVC
收藏 引用
IEEE Visual Communications and Image processing (VCIP)
作者: Yuanying Dai Dong Liu Zheng-Jun Zha Feng Wu CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei China
Lossy compression of image and video yields visually annoying artifacts including blocking, blurring, ringing, etc., especially at low bit rates. In-loop filtering techniques can reduce these artifacts, improve qualit... 详细信息
来源: 评论
An end-to-end foreground-aware network for person re-identification
arXiv
收藏 引用
arXiv 2019年
作者: Liu, Yiheng Zhou, Wengang Liu, Jianzhuang Qi, Guojun 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 Noah’s Ark Lab Huawei Technologies Company Limited Shenzhen518129 China Huawei Cloud EI Product Department Cloud & AI Huawei Technologies
Person re-identification is a crucial task of identifying pedestrians of interest across multiple surveillance camera views. For person re-identification, a pedestrian is usually represented with features extracted fr... 详细信息
来源: 评论
Classification of Large-Scale High-Resolution SAR Images with Deep Transfer Learning
TechRxiv
收藏 引用
TechRxiv 2019年
作者: Huang, Zhongling Dumitru, Corneliu Octavian Pan, Zongxu Lei, Bin Datcu, Mihai The Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Huairou District Beijing101408 China Key Laboratory of Technology in Geo-spatial Information Processing and Application System Chinese Academy of Sciences Beijing China Wessling 82234 Germany
The classification of large-scale high-resolution SAR land cover images acquired by satellites is a challenging task, facing several difficulties such as semantic annotation with expertise, changing data characteristi... 详细信息
来源: 评论
What, Where and How to Transfer in SAR Target Recognition Based on Deep CNNs
arXiv
收藏 引用
arXiv 2019年
作者: Huang, Zhongling Pan, Zongxu Lei, Bin School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Huairou District Beijing101408 China Key Laboratory of Technology in Geo-spatial Information Processing and Application System Chinese Academy of Sciences Beijing100190 China Institute of Electronics Chinese Academy of Sciences Beijing100190 China
Deep convolutional neural networks (DCNNs) have attracted much attention in remote sensing recently. Compared with the large-scale annotated dataset in natural images, the lack of labeled data in remote sensing become... 详细信息
来源: 评论
Learning for video compression
arXiv
收藏 引用
arXiv 2018年
作者: Chen, Zhibo He, Tianyu Jin, Xin Wu, Feng CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
One key challenge to learning-based video compression is that motion predictive coding, a very effective tool for video compression, can hardly be trained into a neural network. In this paper we propose the concept of... 详细信息
来源: 评论