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北京航空航天大学 [243]

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期刊论文 [121]

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限定条件	专题：北京航空航天大学第一署名单位第一作者单位通讯作者单位

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	Remote sensing image fusion based on two-stream fusion network 期刊论文 Information Fusion, 2020, 卷号: 55, 页码: 1-15 作者: Liu, Xiangyu; Liu, Qingjie; Wang, Yunhong 收藏 \| 浏览/下载：57/0 \| 提交时间：2019/12/30
	Abundance-Indicated Subspace for Hyperspectral Classification With Limited Training Samples 期刊论文 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 页码: 1265-1278 作者: Xu, Shuyuan; Li, Jun; Khodadadzadeh, Mandi; Marinoni, Andrea; Gamba, Paolo 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/30 Hyperspectral image classification mixed pixels mutinomial logistic regression (MLR) spectral unmixing subspace learning
	Panchromatic image compression based on improved post-transform for space optical remote sensors 期刊论文 SIGNAL PROCESSING, 2019, 卷号: 159, 页码: 72-88 作者: Li, Jin; Fu, Bo; Liu, Zilong 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/30 Post-transform Remote sensing Imaging systems
	Deep learning and optimization algorithm for high efficient searching and detection of aircraft targets in remote sensing images [遥感图像飞机目标高效搜检深度学习优化算法] 期刊论文 Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2019, 卷号: 45, 页码: 159-173 作者: Guo, L.; Qin, S. 收藏 \| 浏览/下载：18/0 \| 提交时间：2019/12/30 Aircraft Classification (of information) Deep learning Deep neural networks Efficiency Image segmentation Machine learning Reinforcement learning Remote sensing Signal detection Vehicle performance Aircraft targets Comparative analysis Detection algorithm Optimization algorithms Probability of false alarm Real-time properties Remote sensing images Synthetic integrations Aircraft detection
	Hyperspectral hierarchical representation based on density peak ranking 期刊论文 JOURNAL OF APPLIED REMOTE SENSING, 2019, 卷号: 13 作者: Han, Bingnan; Yin, Jihao; Xiao, Aiqun; Luo, Xiaoyan 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/30 hyperspectral image representation hierarchical segmentation clustering classification
	Convolutional Attention in Ensemble With Knowledge Transferred for Remote Sensing Image Classification 期刊论文 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2019, 卷号: 16, 页码: 643-647 作者: Wang, Hainan; Miao, Yunqi; Wang, Hongren; Zhang, Baochang 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/30 Attention mechanism ensemble learning image classification
	A Novel Semi-Supervised Learning Method Based on Fast Search and Density Peaks 期刊论文 COMPLEXITY, 2019, 卷号: 2019 作者: Gao, Fei; Huang, Teng; Sun, Jinping; Hussain, Amir; Yang, Erfu 收藏 \| 浏览/下载：15/0 \| 提交时间：2019/12/30 Cluster analysis Deep learning Discriminant analysis Fisher information matrix Image recognition Iterative methods Learning algorithms Machine learning Radar Radar imaging Remote sensing Classification results Clustering information Clustering methods Kernel fisher discriminant analysis Recognition algorithm Semi supervisions Semi- supervised learning Semi-supervised learning methods Supervised learning
	Multiscale Visual Attention Networks for Object Detection in VHR Remote Sensing Images 期刊论文 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2019, 卷号: 16, 页码: 310-314 作者: Wang, Chen; Bai, Xiao; Wang, Shuai; Zhou, Jun; Ren, Peng 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/12/30 Multiscale feature object detection VHR remote sensing image visual attention
	Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification 期刊论文 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 页码: 1741-1754 作者: Deng, Cheng; Xue, Yumeng; Liu, Xianglong; Li, Chao; Tao, Dacheng 收藏 \| 浏览/下载：15/0 \| 提交时间：2019/12/30 Active learning (AL) deep learning hyperspectral image (HSI) classification multiple-feature representation stacked sparse autoencoder (SSAE) transfer learning (TL)
	Automatic Registration Method for TLS LiDAR Data and Image-Based Reconstructed Data 期刊论文 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2019, 卷号: 16, 页码: 482-486 作者: Xu, Lijun; Feng, Jing; Li, Xiaolu; Liu, Chang 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/30 Fast multiscale registration (FMSR) keypoints detection and matching point clouds scale factor

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