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Compressive imaging beyond the sensor's physical resolution via coded exposure combined with time-delay integration 期刊论文
Optics and Lasers in Engineering, 2023, 卷号: 164
作者:  Y.-H. Li and X.-D. Wang
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TDI-based continuous window compressed spatio-temporal imaging capable of flexible voxels post-interpretation 期刊论文
Optics Express, 2023, 卷号: 31, 期号: 5, 页码: 7303-7320
作者:  Y.-H. Li;  X.-D. Wang and W.-G. Liu
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Conv-Former: A Novel Network Combining Convolution and Self-Attention for Image Quality Assessment 期刊论文
Sensors, 2023, 卷号: 23, 期号: 1
作者:  L. Han;  H. Lv;  Y. Zhao;  H. Liu;  G. Bi;  Z. Yin and Y. Fang
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Remote Sensing Image Denoising Based on Deep and Shallow Feature Fusion and Attention Mechanism 期刊论文
Remote Sensing, 2022, 卷号: 14, 期号: 5, 页码: 23
作者:  L. T. Han;  Y. C. Zhao;  H. Y. Lv;  Y. S. Zhang;  H. L. Liu and G. L. Bi
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Multi-Exposure Image Fusion Techniques: A Comprehensive Review 期刊论文
Remote Sensing, 2022, 卷号: 14, 期号: 3, 页码: 31
作者:  F. Xu;  J. H. Liu;  Y. M. Song;  H. Sun and X. Wang
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Adaptive Slicing Method of the Spatiotemporal Event Stream Obtained from a Dynamic Vision Sensor 期刊论文
Sensors, 2022, 卷号: 22, 期号: 7, 页码: 20
作者:  Y. S. Zhang;  Y. C. Zhao;  H. Y. Lv;  Y. Feng;  H. L. Liu and C. S. Han
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A Discriminative Spectral-Spatial-Semantic Feature Network Based on Shuffle and Frequency Attention Mechanisms for Hyperspectral Image Classification 期刊论文
Remote Sensing, 2022, 卷号: 14, 期号: 11, 页码: 30
作者:  D. X. Liu;  G. L. Han;  P. X. Liu;  H. Yang;  D. B. Chen;  Q. Q. Li;  J. J. Wu and Y. R. Wang
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Discontinuous phase unwrapping based on the minimization of Zernike gradient polynomial residual 期刊论文
Optics Express, 2022, 卷号: 30, 期号: 26, 页码: 47992-48003
作者:  X. Yang;  H. Hu;  D. Xue and X. Zhang
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An improved adaptive spatial preprocessing method for remote sensing images 期刊论文
Sensors, 2021, 卷号: 21, 期号: 17
作者:  L. Zheng and W. Xu
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Low-Threshold Amplified Spontaneous Emission in Blue Quantum Dots Enabled by Effectively Suppressing Auger Recombination 期刊论文
Advanced Optical Materials, 2021, 卷号: 9, 期号: 11
作者:  S. Wang;  J. Yu;  H. Ye;  M. Chi;  H. Yang;  H. Wang;  F. Cao;  W. Li;  L. Kong;  L. Wang;  R. Chen and X. Yang
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