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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:253/0  |  提交时间:2019/08/11
Rolling guidance filter  Saliency detection  Direction gradient sum  Improved adaptive double-channel spiking cortical model  
Weather recognition via classification labels and weather-cue maps 期刊论文
Pattern Recognition, 2019, 卷号: 95, 页码: 272-284
作者:  Zhao, Bin;  Hua, Lulu;  Li, Xuelong;  Lu, Xiaoqiang;  Wang, Zhigang
Adobe PDF(3730Kb)  |  收藏  |  浏览/下载:327/1  |  提交时间:2019/07/17
Weather recognition  Weather-cue map  Multi-task framework  
Similarity Constrained Convex Nonnegative Matrix Factorization for Hyperspectral Anomaly Detection 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: 57, 期号: 7, 页码: 4810-4822
作者:  Zhang, Wuxia;  Lu, Xiaoqiang;  Li, Xuelong
Adobe PDF(2142Kb)  |  收藏  |  浏览/下载:237/0  |  提交时间:2019/07/17
Convex nonnegative matrix factorization (CNMF)  hyperspectral anomaly detection  hyperspectral imagery  similarity constrained  
Convolutional Edge Constraint-Based U-Net for Salient Object Detection 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 48890-48900
作者:  Han, Le;  Li, Xuelong;  Dong, Yongsheng
Adobe PDF(19751Kb)  |  收藏  |  浏览/下载:197/1  |  提交时间:2019/06/27
Encoder-decoder architecture  image convolution  edge extraction  salient object detection  skip connection  U-Net  
Hyperspectral Anomaly Detection via Sparse Dictionary Learning Method of Capped Norm 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 16132-16144
作者:  Yuan, Yuan;  Ma, Dandan;  Wang, Qi
Adobe PDF(7643Kb)  |  收藏  |  浏览/下载:264/0  |  提交时间:2019/03/14
Anomaly detection  hyperspectral images  sparse  dictionary learning  capped norm  
Sample and Structure-Guided Network for Road Crack Detection 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 130032-130043
作者:  Wu, Siyuan;  Fang, Jie;  Zheng, Xiangtao
Adobe PDF(4285Kb)  |  收藏  |  浏览/下载:210/2  |  提交时间:2019/10/11
Road crack detection  neural network  representation capability  sample imbalance  structural information