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Accurate Real-time Laser Spot Locating Based on Template Correlation in Intersatellite Laser Communications 期刊论文
IEEE Photonics Journal, 2024, 卷号: 16, 期号: 1, 页码: 1-10
作者:  Meng, Xiangsheng;  Liu, Wen;  Han, Junfeng;  Tian, Yan;  Liu, Jun;  Ma, Caiwen
Adobe PDF(1135Kb)  |  收藏  |  浏览/下载：32/1  |  提交时间：2024/01/03
Intersatellite laser communications  centroiding accuracy  real-time  engineering applications  
Learning Non-Local Spatial Correlations to Restore Sparse 3D Single-Photon Data 期刊论文
IEEE Transactions on Image Processing, 2020, 卷号: 29, 页码: 3119-3131
作者:  Chen, Songmao;  Halimi, Abderrahim;  Ren, Ximing;  McCarthy, Aongus;  Su, Xiuqin;  McLaughlin, Stephen;  Buller, Gerald S.
Adobe PDF(8769Kb)  |  收藏  |  浏览/下载：231/3  |  提交时间：2020/03/10
Single photon  3D Lidar imaging  Poisson statistics  image restoration  ADMM  Laplacian regularization  graph,non-uniform sampling  multi-scale analysis  
Design and Simulation of an Intelligent Current Monitoring System for Urban Rail Transit 期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 35973-35978
作者:  Yao, Cheng;  Zhao, Qinglei;  Ma, Zelong;  Zhou, Wei;  Yao, Tong
Adobe PDF(5331Kb)  |  收藏  |  浏览/下载：319/0  |  提交时间：2020/03/23
Urban rail transit (URT)  backpropagation neural network (BPNN)  stray current  current monitoring system  
SAR Object Detection Encounters Deformed Complex Scenes and Aliased Scattered Power Distribution 期刊论文
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
作者:  Zhang, Yawei;  Cao, Yu;  Feng, Xubin;  Xie, Meilin;  Li, Xin;  Xue, Yao;  Qian, Xueming
Adobe PDF(24327Kb)  |  收藏  |  浏览/下载：97/0  |  提交时间：2022/03/29
Shallow feature refinement  Iteration-Aware Loss  number estimation  SAR object detection  scattered power distribution aliasing  
Towards Handling Sudden Changes in Feature Maps during Depth Estimation 期刊论文
IEEE Transactions on Multimedia
作者:  Xue, Yao;  Cao, Yu;  Feng, Xubin;  Xie, Meilin;  Li, Ke;  Zhang, Xingjun;  Qian, Xueming
Adobe PDF(8468Kb)  |  收藏  |  浏览/下载：58/0  |  提交时间：2022/06/02
depth estimation  depth representation  multiscale feature