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General fusion method for infrared and visual images via latent low-rank representation and local non-subsampled shearlet transform 期刊论文
Infrared Physics & Technology, 2018, 卷号: 92, 页码: 68-77
作者:  Cheng, B. Y.;  Jin, L. X.;  Li, G. N.
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Latent low-rank representation  Local non-subsampled shearlet transform  Salient features  Image fusion  visible-light  contourlet transform  feature-extraction  nsct domain  algorithm  pcnn  nsst  Instruments & Instrumentation  Optics  Physics  
Visual tracking algorithm based on the sparse-regularized subspace 期刊论文
Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2018, 卷号: 26, 期号: 4, 页码: 989-997
作者:  Chen, Dian-Bing;  Zhu, Ming;  Wang, Hui-Li;  Yang, Hang
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Iterative methods  Principal component analysis  Tracking (position)  
Optical aberration correction for simple lenses via sparse representation 期刊论文
Optics Communications, 2018, 卷号: 412, 页码: 201-213
作者:  Cui, J. L.;  Huang, W.
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Image reconstruction resolution  Blind deconvolution  Nonblind  deconvolution  Digital image processing  Lens system design  single image superresolution  blind deconvolution  quality assessment  dictionary  priors  Optics  
Hyperspectral Remote Sensing Image Classification Based on Three-Dimensional Convolution Neural Network Combined with Conditional Random Field Optimization 期刊论文
Guangxue Xuebao/Acta Optica Sinica, 2018, 卷号: 38, 期号: 8
作者:  Li, Zhuqiang;  Zhu, Ruifei;  Gao, Fang;  Meng, Xiangyu;  An, Yuan;  Zhong, Xing
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Classification (of information)  Convolution  Deep learning  Hyperspectral imaging  Image classification  Image enhancement  Independent component analysis  Random processes  Remote sensing  Spectroscopy  Statistical tests  
MR image reconstruction via guided filter 期刊论文
Medical & Biological Engineering & Computing, 2018, 卷号: 56, 期号: 4, 页码: 635-648
作者:  Huang, H. Y.;  Yang, H.;  Wang, K.
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Image reconstruction  Magnetic resonance imaging  Compressive sensing  Guided filter  signal recovery  Computer Science  Engineering  Mathematical & Computational Biology  Medical Informatics  
Phase diversity technique with sparse regularization in liquid crystal adaptive optics system 期刊论文
Journal of Astronomical Telescopes Instruments and Systems, 2018, 卷号: 4, 期号: 4, 页码: 8
作者:  Wu, D. S.;  Yang, C. L.;  Zhang, P. G.;  Xu, Z. H.;  Xu, H. Y.;  Zhang, X. Y.;  Cao, Z. L.;  Mu, Q. Q.;  Xuan, L.
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phase diversity  sparse regularization  image restoration  liquid  crystal  adaptive optics  image-restoration  aberrations  Engineering  Instruments & Instrumentation  Optics  
An Omnidirectional Morphological Method for Aerial Point Target Detection Based on Infrared Dual-Band Model 期刊论文
Remote Sensing, 2018, 卷号: 10, 期号: 7, 页码: 26
作者:  Liu, R.;  Wang, D. J.;  Jia, P.;  Sun, H.
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point target detection  dual-band model  optimal fused probability of  detection  omnidirectional morphological filtering  local difference  criterion  top-hat transform  2d images  algorithm  enhancement  features  filter  track  Remote Sensing  
Crossline-direction reconstruction of multi-component seismic data with shearlet sparsity constraint 期刊论文
Journal of Geophysics and Engineering, 2018, 卷号: 15, 期号: 5, 页码: 1929-1942
作者:  Liu, C. M.;  Wang, D. L.;  Sung, J.;  Wang, T. X.
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shearlet transform  multi-component  wavefield reconstruction  crossline  interpolation  sparsity constraint  curvelet frames  interpolation  recovery  algorithm  pressure  domain  Geochemistry & Geophysics  
Infrared and visual image fusion using LNSST and an adaptive dual-channel PCNN with triple-linking strength 期刊论文
Neurocomputing, 2018, 卷号: 310, 页码: 135-147
作者:  Cheng, B. Y.;  Jin, L. X.;  Li, G. N.
Adobe PDF(4010Kb)  |  收藏  |  浏览/下载:494/144  |  提交时间:2019/09/17
LNSST  ATD-PCNN  Image fusion  Singular value decomposition  Auxiliary  linking strength  Triple-linking strength  sparse representation  shearlet transform  multi-focus  feature-extraction  neural-network  domain  algorithm  decomposition  Computer Science  
Real-time surface reconstruction based global camera pose optimization 期刊论文
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2018, 卷号: 48, 期号: 3, 页码: 909-918
作者:  Lin, Jin-Hua;  Wang, Yan-Jie;  Wang, Lu;  Yao, Yu
Adobe PDF(1140Kb)  |  收藏  |  浏览/下载:448/121  |  提交时间:2019/09/17
Surface reconstruction  Cameras  Computer applications  Computer vision  Image reconstruction  Iterative methods  Target tracking