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Imaging Enhancement of Light-Sheet Fluorescence Microscopy via Deep Learning 期刊论文
IEEE Photonics Technology Letters, 2019, 卷号: 31, 期号: 22, 页码: 1803-1806
作者:  Bai, Chen;  Liu, Chao;  Yu, Xianghua;  Peng, Tong;  Min, Junwei;  Yan, Shaohui;  Dan, Dan;  Yao, Baoli
Adobe PDF(1480Kb)  |  收藏  |  浏览/下载：279/1  |  提交时间：2020/02/28
Convolutional neural networks  residual learning  light-sheet fluorescence microscopy  
Robust contrast-transfer-function phase retrieval via flexible deep learning networks 期刊论文
OPTICS LETTERS, 2019, 卷号: 44, 期号: 21, 页码: 5141-5144
作者:  Bai, Chen;  Zhou, Meiling;  Min, Junwei;  Dang, Shipei;  Yu, Xianghua;  Zhang, Peng;  Peng, Tong;  Yao, Baoli
Adobe PDF(2402Kb)  |  收藏  |  浏览/下载：222/2  |  提交时间：2019/11/26
Infrared and visible image fusion algorithm based on saliency detection and adaptive double-channel spiking cortical model 期刊论文
Infrared Physics and Technology, 2019, 卷号: 102
作者:  Zhao, C.;  Huang, Yongdong;  Qiu, Shi
Adobe PDF(2903Kb)  |  收藏  |  浏览/下载：234/0  |  提交时间：2019/08/11
Rolling guidance filter  Saliency detection  Direction gradient sum  Improved adaptive double-channel spiking cortical model  
Direct calculation of tightly focused field in an arbitrary plane 期刊论文
Optics Communications, 2019, 卷号: 450, 页码: 329-334
作者:  Cai, Yanan;  Wang, Zhaojun;  Liang, Yansheng;  Ren, Feifei;  Yao, Baoli;  Lei, Ming;  Yan, Shaohui
Adobe PDF(1496Kb)  |  收藏  |  浏览/下载：255/4  |  提交时间：2019/07/11
Fourier optics  Optical field shaping  Focus  Debye-Wolf integral  
Robust Space-Frequency Joint Representation for Remote Sensing Image Scene Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 10, 页码: 7492-7502
作者:  Fang, Jie;  Yuan, Yuan;  Lu, Xiaoqiang;  Feng, Yachuang
Adobe PDF(5771Kb)  |  收藏  |  浏览/下载：222/1  |  提交时间：2019/11/01
Frequency domain  joint representation  remote sensing image classification  robust  space domain  
A Feature Aggregation Convolutional Neural Network for Remote Sensing Scene Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 10, 页码: 7894-7906
作者:  Lu, Xiaoqiang;  Sun, Hao;  Zheng, Xiangtao
Adobe PDF(6634Kb)  |  收藏  |  浏览/下载：231/5  |  提交时间：2019/11/01
Feature aggregation  remote sensing image  scene classification  
Detection of ships in inland river using high-resolution optical satellite imagery based on mixture of deformable part models 期刊论文
Journal of Parallel and Distributed Computing, 2019, 卷号: 132, 页码: 1-7
作者:  Song, Pengfei;  Qi, Lei;  Qian, Xueming;  Lu, Xiaoqiang
Adobe PDF(3011Kb)  |  收藏  |  浏览/下载：179/1  |  提交时间：2019/07/08
Inland river  Ship detection  Optical satellite imagery  Deformable part model  
Compressed Blind Deconvolution and Denoising for Complementary Beam Subtraction Light-Sheet Fluorescence Microscopy 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2019, 卷号: 66, 期号: 10, 页码: 2979-2989
作者:  Bai, Chen;  Liu, Chao;  Jia, Hao;  Peng, Tong;  Min, Junwei;  Lei, Ming;  Yu, Xianghua;  Yao, Baoli
Adobe PDF(4394Kb)  |  收藏  |  浏览/下载：246/1  |  提交时间：2019/10/11
Light-sheet fluorescence microscopy  blind image deconvolution  denoising  compressed sensing  
Range-gated imaging in turbid conditions using a combination of intensity and polarization information 期刊论文
PHYSICA SCRIPTA, 2019, 卷号: 94, 期号: 10
作者:  Ren, Wei;  Guan, Jinge;  Liu, Jiahang;  Chen, Junyu;  Feng, Xiaoshan
Adobe PDF(1361Kb)  |  收藏  |  浏览/下载：194/0  |  提交时间：2019/08/23
polarization  range-gated imaging  turbid media  image fusion  
Local difference-based active contour model for medical image segmentation and bias correction 期刊论文
IET Image Processing, 2019, 卷号: 13, 期号: 10, 页码: 1755-1762
作者:  Niu, Yuefeng;  Cao, Jianzhong
Adobe PDF(4660Kb)  |  收藏  |  浏览/下载：176/0  |  提交时间：2019/09/25
image segmentation  medical image processing  two-phase model  medical images  LBDE model  precise segmentation results  comparative models  local difference-based active contour model  medical image segmentation  bias correction  local bias field  difference estimation model  smooth orthogonal basis functions  clustering criterion function  measured image  local region  accurate segmentation results  level set evolution process