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相关概念视频

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

879
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
879
IR Spectrum01:19

IR Spectrum

1.0K
When infrared (IR) radiation passes through a molecule, the bonds stretch or bend by absorbing the radiation. This absorption creates the molecule's absorption spectrum, which is the plot of its percentage transmittance versus wavenumber.
Transmittance is defined as the ratio of the radiant power passing through a sample to that from the radiation's source. Multiplying the transmittance by 100 gives the percent transmittance (%T), which varies between 100% (no absorption) and 0%...
1.0K
IR Spectrometers01:25

IR Spectrometers

1.1K
There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
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相关实验视频

Updated: Jun 29, 2025

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy
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原始光谱波器阵列成像用于场景识别.

Hassan Askary1, Jon Yngve Hardeberg1,2, Jean-Baptiste Thomas1,2,3

  • 1Department of Computer Science, NTNU-Norwegian University of Science and Technology, 2815 Gjøvik, Norway.

Sensors (Basel, Switzerland)
|March 28, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了使用来自光谱波器阵列摄像机的原始多光谱图像进行场景识别,绕过了demozaicing以提高精度. 更高分辨率的原始图像提高了性能,即使使用马赛克图案.

关键词:
卷积神经网络是一种卷积神经网络.场景识别系统是场景识别系统.一个光谱过器阵列.

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Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
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Direct Comparison of Hyperspectral Stimulated Raman Scattering and Coherent Anti-Stokes Raman Scattering Microscopy for Chemical Imaging
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Direct Comparison of Hyperspectral Stimulated Raman Scattering and Coherent Anti-Stokes Raman Scattering Microscopy for Chemical Imaging

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科学领域:

  • 计算机视觉 计算机视觉
  • 图像处理 图像处理
  • 机器学习 机器学习

背景情况:

  • 场景识别可以识别图像环境.
  • 光谱波器阵列摄像机可以快速捕获多光谱图像.
  • 目前的方法是删除原始图像,增加延迟和文物.

研究的目的:

  • 在原始光谱波器阵列图像上直接探索场景识别.
  • 为了克服破解文物和延迟所造成的局限性.
  • 开发一种用于多光谱图像场景分类的新方法.

主要方法:

  • 使用卷积神经网络 (CNN) 来进行分类.
  • 开发了一个新的原始图像数据集用于场景识别.
  • 采用预训练的Places-CNN模型,适应9个频谱频道.
  • 为新数据集实施了标签映射方案.

主要成果:

  • 直接在原始图像上执行的场景识别显示出有希望.
  • 高分辨率的原始图像产生了更好的分类性能.
  • 美国有线电视新闻网 (CNN) 模型有效地利用了所有9个光谱通道.
  • 预处理步骤对其对结果的影响进行了评估.

结论:

  • 直接处理原始光谱波器阵列图像是一种可行的场景识别方法.
  • 绕过demozaicing可以减少延迟时间并避免相关的文物.
  • 拟议的方法为场景识别任务提供了更有效和潜在的准确替代方案.