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相关概念视频

Downsampling01:20

Downsampling

253
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
253
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

125
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
125

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相关实验视频

Updated: Sep 11, 2025

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

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水下非局部自适应性分散成像

Jinghan Xu, Guojun Wu, Fei Feng

    Optics express
    |August 13, 2025
    PubMed
    概括

    这项研究引入了一种水下成像系统,以获得更清晰的视觉效果. 乌纳迪系统提高了图像分辨率和信号噪声比,改善了水下勘探和目标重建.

    科学领域:

    • 计算机视觉 计算机视觉
    • 光学工程是指光学工程.
    • 海洋技术 海洋技术

    背景情况:

    • 水下成像受到散射,光和不均照明的挑战,降低了恢复质量.
    • 准确估计背景光和透射率对于有效的水下图像恢复至关重要.
    • 现有的方法难以处理复杂的水下环境和单色数据处理.

    研究的目的:

    • 开发一种先进的水下成像系统,用于高分辨率的图像恢复.
    • 为了能够在具有挑战性的水下条件下准确估计光学参数.
    • 克服水下图像处理中传统方法的局限性.

    主要方法:

    • 提出了水下非局部自适应散射成像 (UNADI) 系统.
    • 实施一个自适应的背景光估计机制.
    • 利用多维层扩展来改进数据处理.

    主要成果:

    • 在美国空军1951年决议目标上,UNADI实现了124%的解决方案改进.
    • 在25米激光雷达任务中证明了2.4倍的信号噪声比 (SNR) 提升.
    • 在显著的光衰减下实现了强大的目标重建.

    更多相关视频

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    Published on: June 13, 2025

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    Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
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    Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

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    相关实验视频

    Last Updated: Sep 11, 2025

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    Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
    13:35

    Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

    Published on: June 13, 2025

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    Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
    09:19

    Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

    Published on: April 18, 2025

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    结论:

    • 乌纳迪系统为高分辨率的水下恢复提供了准确的参数估计.
    • 在复杂的水下环境中,UNADI有效地减轻了干扰.
    • 与现有的基于本地,非本地,深度学习和基于两极分化的方法相比,该系统提供了卓越的性能.