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兰州理工大学 [6]

长春光学精密机械与物... [6]

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	Ship Detection in High-Resolution Optical Remote Sensing Images Aided by Saliency Information 期刊论文 IEEE Transactions on Geoscience and Remote Sensing, 2022, 期号: 0, 页码: 0 作者: Zhida, Ren; Yongqiang, Tang; Zewen, He; Lei, Tian; Yang, Yang 收藏 \| 浏览/下载：30/0 \| 提交时间：2022/04/22 Deep learning ship detection saliency detection high-resolution optical images remote sensing
	Fusing Attention Network based on Dilated Convolution for Super Resolution 期刊论文 IEEE Transactions on Cognitive and Developmental Systems, 2022 作者: Song, Zhaoyang; Zhao, Xiaoqiang; Hui, Yongyong; Jiang, Hongmei 收藏 \| 浏览/下载：9/0 \| 提交时间：2022/07/20 Convolution Data mining Filtration Image reconstruction Locks (fasteners) Optical resolving power Quality control Dilated convolutional attention module. Features extraction High-frequency informations Images reconstruction Information filter Multi feature attention block Multifeatures Single super resolution Superresolution
	Gradual deep residual network for super-resolution 期刊论文 Multimedia Tools and Applications, 2021, 卷号: 80, 期号: 7, 页码: 9765-9778 作者: Song, Zhaoyang; Zhao, Xiaoqiang; Jiang, Hongmei 收藏 \| 浏览/下载：2/0 \| 提交时间：2021/06/03 Deep neural networks Image enhancement Optical resolving power Benchmark datasets High resolution image Low resolution images Quantitative evaluation Reconstruction networks Reconstruction process State-of-the-art methods Visual evaluation
	Super-Resolution Reconstruction of Deep Residual Network with Multi-Level Skip Connections 期刊论文 Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2019, 卷号: 41, 期号: 10, 页码: 2501-2508 作者: Zhao, Xiaoqiang; Song, Zhaoyang 收藏 \| 浏览/下载：18/0 \| 提交时间：2020/11/14 Convolution Convolutional neural networks Eigenvalues and eigenfunctions Gradient methods Image processing Optical resolving power Stochastic models Stochastic systems Evaluation index Feature information High resolution image Image information Low resolution images Multilevels Stochastic gradient descent Super resolution reconstruction
	Residential land extraction from high spatial resolution optical images using multifeature hierarchical method 期刊论文 JOURNAL OF APPLIED REMOTE SENSING, 2019, 卷号: 13, 期号: 2 作者: Fu, Zhongliang; Liang, Xiaoli 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/06 residential land high spatial resolution optical images scene classification multi-feature hierarchical
	Accelerate neural style transfer with super-resolution 期刊论文 Multimedia Tools and Applications, 2019 作者: Li, Z.; Zhou, F.; Yang, L.; Li, X.; Li, J. 收藏 \| 浏览/下载：18/0 \| 提交时间：2019/12/30 Deep learning Optical resolving power Program processors Convolutional networks High resolution image Image generations Neural network optimization Single images Style transfer Super resolution Transfer network Image reconstruction
	Super-multiview integral imaging scheme based on sparse camera array and CNN super-resolution 期刊论文 APPLIED OPTICS, 2019, 卷号: 58, 页码: A190-A196 作者: Ren, Hui; Wang, Qiong-Hua; Xing, Yan; Zhao, Min; Luo, Ling 收藏 \| 浏览/下载：20/0 \| 提交时间：2019/12/30 Cameras Convolution Virtual reality Convolution neural network Elemental images High resolution Integral images Integral imaging Super resolution Three-dimensional scenes Viewpoint images Optical resolving power
	Deep CNN jointing low-high level feature for image super-resolution 会议论文 Chengdu, China, December 12, 2018 - December 14, 2018 作者: Song, Xuhui; Liu, Weirong; Liu, Jie; Liu, Chaorong; Lu, Chunyan 收藏 \| 浏览/下载：12/0 \| 提交时间：2020/11/15 Image reconstruction Neural networks Optical resolving power Semantics Textures Convolutional neural network High resolution image High-level semantic features Image super resolutions Low resolution images Low-high Perceptual effects Residual learning
	Simulation of electromagnetic scattering from 2D sea surface with 3D electrically large ship target [二维海面上三维电大尺寸舰船目标电磁散射仿真] 期刊论文 Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2018, 卷号: 44, 页码: 2299-2304 作者: Ge, Z.; Xian, N.; Wang, J.; Li, Y. 收藏 \| 浏览/下载：15/0 \| 提交时间：2019/12/30 Electromagnetic simulation Electromagnetic wave scattering Frequency domain analysis Method of moments Optical character recognition Radar imaging Ships Surface scattering Surface waters Synthetic aperture radar Electromagnetic scattering High resolution range profiles Inverse Fourier transforms Parallel Computation Rough sea surface Scattering char-acteristics Simulation and analysis Synthetic aperture radar (SAR) images Radar target recognition
	Multi-morphology image super-resolution via sparse representation 期刊论文 Neurocomputing, 2013, 卷号: 120, 页码: 645-654 作者: Liu, Weirong; Li, Shutao 收藏 \| 浏览/下载：7/0 \| 提交时间：2022/02/17 Intelligent systems Optical resolving power Traffic control Dictionary trainings High resolution image Intelligent transport systems Linear combinations Low resolution images Morphological component analysis Sparse representation Super resolution

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