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• 长春光学精密机械与物... [4]
• 自动化研究所 [3]
• 地理科学与资源研究所 [2]
• 计算技术研究所 [2]
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• OAI收割 [19]

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• 会议论文 [8]
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• SCI/SSCI论文 [1]

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• 2024 [1]
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• Geoscience... [1]

筛选

浏览/检索结果: 共19条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Ground Moving Target Detection With Adaptive Data Reconstruction and Improved Pseudo-Skeleton Decomposition 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 14 作者:  He, Xiongpeng;  Liu, Kun;  Gu, Tong;  Liao, Guisheng;  Zhu, Shengqi   |  收藏  |  浏览/下载：71/0  |  提交时间：2024/12/06 Clutter  Object detection  Sparse matrices  Principal component analysis  Matrix decomposition  Image reconstruction  Estimation  Data reconstruction (DR)  ground moving target indication (GMTI)  joint-pixel model  pseudo-skeleton decomposition (IPSD)  robust principal component analysis (RPCA)   Single Space Object Image Super Resolution Reconstructing Using Convolutional Networks in Wavelet Transform Domain 会议论文  OAI收割 Chengdu, China, 2020-05-08 作者:  Feng, Xubin;  Su, Xiuqin;  Xu, Zhengpu;  Xie, Meilin;  Liu, Peng   |  收藏  |  浏览/下载：73/0  |  提交时间：2020/07/21 component  convolutional neural network  wavelet transform  space object image   Rare Object Search From Low-S/N Stellar Spectra in SDSS 期刊论文  OAI收割 IEEE ACCESS, 2020, 卷号: 8, 页码: 66475-66488 作者:  Wu, Minglei;  Pan, Jingchang;  Yi, Zhenping;  Wei, Peng   |  收藏  |  浏览/下载：39/0  |  提交时间：2021/12/06 Principal component analysis  Search problems  Astronomy  Support vector machines  Wavelength division multiplexing  Feature extraction  Random forests  SDSS  stellar spectra  machine learning  rare object search   Multi-Component Fusion Network for Small Object Detection in Remote Sensing Images 期刊论文  OAI收割 IEEE ACCESS, 2019, 卷号: 7, 页码: 128339-128352 作者:  Liu, Jing;  Yang, Shuojin;  Tian, Liang;  Guo, Wei;  Zhou, Bingyin   |  收藏  |  浏览/下载：79/0  |  提交时间：2019/12/10 Small object  remote sensing  multi-component  dual pyramid fusion  occlusion  complex scene   Infrared Dim-Small Target Detection Based on Robust Principal Component Analysis and Multi-Point Constant False Alarm 期刊论文  OAI收割 Guangxue Xuebao/Acta Optica Sinica, 2019, 卷号: 39, 期号: 8 作者:  M.Ma;  D.Wang;  H.Sun;  T.Zhang   |  收藏  |  浏览/下载：36/0  |  提交时间：2020/08/24 Signal to noise ratio,Alarm systems,Errors,Extraction,Image resolution,Image segmentation,Object recognition,Pixels,Principal component analysis   Small target detection based on reweighted infrared patch-image model 期刊论文  OAI收割 IET IMAGE PROCESSING, 2018, 卷号: 12, 期号: 1, 页码: 70-79 作者:  Guo, Jun;  Wu, Yiquan;  Dai, Yimian   |  收藏  |  浏览/下载：91/0  |  提交时间：2018/12/12 Object Detection  Infrared Imaging  Principal Component Analysis  Small Target Detection  Reweighted Infrared Patch-image Model  Infrared Small Target Detection  Sparse Background Edges  Background Estimation  Reweighted Nuclear Norm  Nontarget Sparse Points  Reweighted Robust Principal Component Analysis Problem  Inexact Augmented Lagrangian Multiplier Method  Background Clutter Suppression  Reweighted l(1) Norm   Object detection based on deformable part model 期刊论文  OAI收割 Proceedings of SPIE: 8th International Symposium on Advanced Optical Manufacturing and Testing Technology: Optical Test, Measurement Technology, and Equipment, 2016, 卷号: 9684, 页码: 96842P 作者:  Wei, Lei;  Xu, Zhiyong   |  收藏  |  浏览/下载：43/0  |  提交时间：2018/06/14 Feature Extraction  Manufacture  Object Detection  Optical Testing  Principal Component Analysis  Support Vector Machines   Component-Based License Plate Detection Using Conditional Random Field Model 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2013, 卷号: 14, 期号: 4, 页码: 1690-1699 作者:  Li, Bo;  Tian, Bin;  Li, Ye;  Wen, Ding 收藏  |  浏览/下载：70/0  |  提交时间：2015/08/12 Component-based object detection  computer vision  conditional random field (CRF)  license plate detection   Buffer and vibration optimization of missile data recorder structure (EI CONFERENCE) 会议论文  OAI收割 2011 International Conference on Mechatronics and Materials Processing, ICMMP 2011, November 18, 2011 - November 20, 2011, Guangzhou, China 作者:  Zhang J.;  Zhang J.;  Zhang J. 收藏  |  浏览/下载：49/0  |  提交时间：2013/03/25 On the analysis of the original data recorder  the stress wave theory is the elastic theory can explain the filter buffer question from the micro-small space  made several key problems clear when buffer and damping  from this designed a composite structure for vibration reduction  distinguished between a cushion theory and application field of stress wave theory  which made the dynamic stress of protected component down about one order of magnitude. Optimization with Isight and Ls-dyna  the traditional rigid spring-buffer model whose object is to reduce the impact of acceleration that can not accurately describe the elastic force of the part of the actual situation  the protected component's dynamic stress down about 69.3% and the data recorder's quality 300g lower  finally passed the Marshall Hammer test successfully. 2011 Trans Tech Publications.   Study particle filter tracking and detection algorithms based on DSP signal processors (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Dong Y.; Chuan W. 收藏  |  浏览/下载：37/0  |  提交时间：2013/03/25 In Video tracking  detection and tracking usually need two algorithms. The process is complex and need much time which detection and tracking are. In this paper a hybrid valued sequential state vector is formulated. The state vector is characterized by information of target appearance flag and of location. Particle filter-based method implements detection and tracking at one time. In order to reduce process time and think of pixel position in tracking field  feature histogram of luminance is as observe vector and used posterior estimate. In this paper  the luminance component is derived and target is recognized and tracked through image processor based on DSP in order to implementing real-time. The experimental results confirm that method can detect and track the object in real-time successfully when the number of particles is 160. The method is robust for rolling  scale and partial occlusion. 2010 IEEE.