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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：186/1  |  提交时间：2019/07/08
Inland river  Ship detection  Optical satellite imagery  Deformable part model  
Hierarchical and Robust Convolutional Neural Network for Very High-Resolution Remote Sensing Object Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 8, 页码: 5535-5548
作者:  Zhang, Yuanlin;  Yuan, Yuan;  Feng, Yachuang;  Lu, Xiaoqiang
Adobe PDF(11192Kb)  |  收藏  |  浏览/下载：356/3  |  提交时间：2019/08/13
Convolutional neural networks (CNNs)  hierarchical robust CNN (HRCNN)  hierarchical spatial semantic (HSS)  object detection  remote sensing images (RSIs)  rotation and scaling robust enhancement (RSRE)  
A moving target extraction algorithm based on the fusion of infrared and visible images 期刊论文
Infrared Physics and Technology, 2019, 卷号: 98, 页码: 285-291
作者:  Qiu, Shi;  Luo, Junsong;  Yang, Song;  Zhang, Meiyang;  Zhang, Wei
Adobe PDF(1746Kb)  |  收藏  |  浏览/下载：213/0  |  提交时间：2019/04/28
Infrared images  Visible images  Moving target  
Spatiotemporal interest point detector exploiting appearance and motion-variation information 期刊论文
JOURNAL OF ELECTRONIC IMAGING, 2019, 卷号: 28, 期号: 3
作者:  Li, Yanshan;  Li, Qingteng;  Huang, Qinghua;  Xia, Rongjie;  Li, Xuelong
Adobe PDF(3095Kb)  |  收藏  |  浏览/下载：179/0  |  提交时间：2019/07/19
spatiotemporal interest point detector  spatiotemporal interest point  geometric algebra  video  
Long-Short-Term Features for Dynamic Scene Classification 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 4, 页码: 1038-1047
作者:  Huang, Yuanjun;  Cao, Xianbin;  Wang, Qi;  Zhang, Baochang;  Zhen, Xiantong;  Li, Xuelong
Adobe PDF(2016Kb)  |  收藏  |  浏览/下载：277/0  |  提交时间：2019/04/30
Dynamic scene classification  long-short term feature  long term frequency feature