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北京航空航天大学 [259]
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期刊论文 [133]
会议论文 [126]
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2019 [25]
2018 [52]
2017 [36]
2016 [28]
2015 [38]
2014 [22]
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专题:北京航空航天大学
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Breast Cancer Detection Using Synthetic Aperture Radar Imaging and Distorted Born Iterative Method
会议论文
2018 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2018, 2018-07-29
作者:
Liu, H.
;
Shang, X.
;
Ye, X.
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/12/30
Computational electromagnetics
Diseases
Imaging techniques
Inverse problems
Inverse synthetic aperture radar
Iterative methods
Radar imaging
Synthetic aperture radar
Tracking radar
Breast Cancer
Breast cancer detection
Distorted Born iterative methods
Inverse scattering
Microwave imaging
Qualitative imaging
Quantitative imaging
Relative permittivity
Medical imaging
A Novel Separability Objective Function in CNN for Feature Extraction of SAR Images
期刊论文
CHINESE JOURNAL OF ELECTRONICS, 2019, 卷号: 28, 页码: 423-429
作者:
Gao Fei
;
Wang Meng
;
Wang Jun
;
Yang Erfu
;
Zhou Huiyu
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/30
Synthetic aperture radar (SAR)
Convolution neural network (CNN)
Classification
Linear separability
Objective function
High-quality pixel selection in ground-based SAR interferometry based on pseudo- and quasi-permanent scatterers analyses
期刊论文
JOURNAL OF APPLIED REMOTE SENSING, 2019, 卷号: 13
作者:
Huang, Zengshu
;
Sun, Jinping
;
Li, Qing
;
Tan, Weixian
;
Huang, Pingping
收藏
  |  
浏览/下载:76/0
  |  
提交时间:2019/12/30
ground-based synthetic aperture radar
deformation monitoring
pixel selection
pseudo permanent scatterer
quasi permanent scatterer
Cramér Rao Lower Bound Derivation of Parameter Estimation for Hypersonic Platform SAR-GMTI
会议论文
International Conference on Signal Processing Proceedings, ICSP, 2018-08-12
作者:
Zhou, R.
;
Zhao, Q.
;
Zhang, L.
;
Sun, J.
收藏
  |  
浏览/下载:65/0
  |  
提交时间:2019/12/30
Probability density function
Radar target recognition
Signal processing
Synthetic aperture radar
Accuracy of parameters
CRLB
Ground moving target indication
Interferometric phase
Joint probability density function
Multichannel
Radial velocity estimation
Signal-to-clutter ratios
Parameter estimation
Sea Ice Classification Using TerraSAR-X ScanSAR Data With Removal of Scalloping and Interscan Banding
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 页码: 589-598
作者:
Zhang, Lu
;
Liu, Huiying
;
Gu, Xinwei
;
Guo, Huadong
;
Chen, Jie
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/30
Classification
kalman filter
sea ice
synthetic aperture radar (SAR)
Unwrapped Phase Estimation Via Normalized Probability Density Function for Multibaseline InSAR
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 4979-4988
作者:
Xu, Huaping
;
Li, Shuo
;
You, Yanan
;
Liu, Aifang
;
Liu, Wei
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
Maximum likelihood estimation
synthetic aperture radar
radar interferometry
phase estimation
Weakly Supervised Segmentation of SAR Imagery Using Superpixel and Hierarchically Adversarial CRF
期刊论文
REMOTE SENSING, 2019, 卷号: 11
作者:
Ma, Fei
;
Gao, Fei
;
Sun, Jinping
;
Zhou, Huiyu
;
Hussain, Amir
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
synthetic aperture radar (SAR)
segmentation
conditional random fields (CRF)
conditional generative adversarial nets (CGAN)
neighborhood consistency
Squint Mode GEO SAR Imaging Using Bulk Range Walk Correction on Received Signals
期刊论文
REMOTE SENSING, 2019, 卷号: 11
作者:
Geng, Jiwen
;
Yu, Ze
;
Li, Chunsheng
;
Liu, Wei
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/30
geosynchronous synthetic aperture radar
squint mode imaging
range walk correction
A Novel Semi-Supervised Convolutional Neural Network Method for Synthetic Aperture Radar Image Recognition
期刊论文
Cognitive Computation, 2019
作者:
Yue, Z.
;
Gao, F.
;
Xiong, Q.
;
Wang, J.
;
Huang, T.
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Automatic target recognition
Convolution
Discriminant analysis
Image recognition
Machine learning
Matrix algebra
Neural networks
Probability
Radar imaging
Supervised learning
Synthetic aperture radar
Class probabilities
Cognitive learning
Convolutional neural network
Linear discriminant analysis
Recognition accuracy
Semi- supervised learning
Semi-supervised method
Stationary targets
Radar target recognition
AgileSAR: Achieving Wide-Swath Spaceborne SAR Based on Time-Space Sampling
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 674-686
作者:
Yu, Ze
;
Chen, Wenjiao
;
Xiao, Peng
;
Li, Chunsheng
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/30
Synthetic aperture radar
sparse
time-space sampling
estimation error
wide swath
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