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Infrared LSS-Target Detection Via Adaptive TCAIE-LGM Smoothing and Pixel-Based Background Subtraction 期刊论文
Photonic Sensors, 2019, 卷号: 9, 期号: 2, 页码: 179-188
作者:  Y.F.Wu;  Y.J.Wang;  P.X.Liu;  H.Y.Luo;  B.Y.Cheng;  H.J.Sun
浏览  |  Adobe PDF(379Kb)  |  收藏  |  浏览/下载：167/49  |  提交时间：2020/08/24
Small target detection,L0 smoothing,texture complexity,information,entropy,pixel-based adaptive segmentation,search,Instruments & Instrumentation,Optics  
Background Subtraction With Real-Time Semantic Segmentation 期刊论文
Ieee Access, 2019, 卷号: 7, 页码: 153869-153884
作者:  D.D.Zeng;  X.Chen;  M.Zhu;  M.Goesele;  A.Kuijper
浏览  |  Adobe PDF(6097Kb)  |  收藏  |  浏览/下载：143/42  |  提交时间：2020/08/24
Background subtraction,foreground object detection,semantic,segmentation,video surveillance,density-estimation,Computer Science,Engineering,Telecommunications  
Research on Scene Classification Method of High-Resolution Remote Sensing Images Based on RFPNet 期刊论文
Applied Sciences-Basel, 2019, 卷号: 9, 期号: 10, 页码: 26
作者:  X.Zhang;  Y.C.Wang;  N.Zhang;  D.D.Xu;  B.Chen
浏览  |  Adobe PDF(11958Kb)  |  收藏  |  浏览/下载：148/33  |  提交时间：2020/08/24
convolutional neural network,ResNet,semantic information,remote,sensing images,scene classification,TensorFlow,satellite images,deep,representation,network,features,scale,Chemistry,Engineering,Materials Science,Physics  
Phase diversity algorithm with high noise robust based on deep denoising convolutional neural network 期刊论文
Optics Express, 2019, 卷号: 27, 期号: 16, 页码: 22846-22854
作者:  D.Q.Li;  S.Y.Xu;  D.Wang;  D.J.Yan
浏览  |  Adobe PDF(4263Kb)  |  收藏  |  浏览/下载：204/50  |  提交时间：2020/08/24
Optics  
Energy-based cloud detection in multispectral images based on the SVM technique 期刊论文
International Journal of Remote Sensing, 2019, 卷号: 40, 期号: 14, 页码: 5530-5543
作者:  Y.L.Sui;  B.He;  T.J.Fu
浏览  |  Adobe PDF(2048Kb)  |  收藏  |  浏览/下载：120/41  |  提交时间：2020/08/24
landsat,Remote Sensing,Imaging Science & Photographic Technology  
Image Retrieval Based on Learning to Rank and Multiple Loss 期刊论文
Isprs International Journal of Geo-Information, 2019, 卷号: 8, 期号: 9, 页码: 22
作者:  L.L.Fan;  H.W.Zhao;  H.Y.Zhao;  P.P.Liu;  H.S.Hu
浏览  |  Adobe PDF(5998Kb)  |  收藏  |  浏览/下载：110/29  |  提交时间：2020/08/24
multiple loss function,computer vision,deep image retrieval,learning,to rank,deep learning,object retrieval