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通过对称的多尺度校正增强变压器进行面研磨

Yong Li1, Yi Wang2, Shuai Shi3

  • 1Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, 100871, China; Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong.

Neural networks : the official journal of the International Neural Network Society
|February 8, 2025
PubMed
概括

本研究介绍了对称多尺度校正增强变压器 (SMCET) 模型,以改善远程传感图像全面利. SMCET有效地捕捉了自我相似性,增强了融合图像中的纹理和光谱细节.

关键词:
面板磨削 面板磨削 面板磨削遥感图像融合技术 遥感图像融合技术自我相似性 自我相似性视觉变压器 视觉变压器

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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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