对比人类在近红外和长波红外中对目标定位的性能,用于混乱的环境
Li Zhang1, Mark Martino1, Orges Furxhi2
1CREOL, College of Optics and Photonics, University of Central Florida, Orlando, FL 32816, USA.
Sensors (Basel, Switzerland)
|October 26, 2024
概括
人工智能 (AI) 在物体检测方面表现有前途,特别是在长波红外 (LWIR) 成像中. 人工智能可能在使用LWIR图像在复杂环境中检测远距离目标方面表现优于人类.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 人与计算机的交互
背景情况:
- 人工智能模型的性能经常被比较,但人类的能力往往被忽视.
- 了解人类视觉感知对于对AI物体检测进行基准测试至关重要.
研究的目的:
- 研究人类在近红外 (NIR) 和长波红外 (LWIR) 图像中的目标检测能力.
- 建立人类表现的基准,以帮助人工智能对象检测分析.
主要方法:
- 使用感知测试来评估人类对象检测.
- 采用人类性能模型来分析检测能力.
- 在NIR和LWIR成像模式中比较性能.
主要成果:
- 在NIR和LWIR图像之间观察到目标检测能力的明显差异.
- 低射成像显示,在较长的距离上效率降低,但环境稳定性更大.
- 人类的检测准确度根据成像类型和范围而有所不同.
结论:
- 人工智能可以为在LWIR图像中对象检测提供显著的优势.
- 人工智能有可能在远程物体检测方面超越人类的准确性,特别是在LWIR.
- 这项研究为评估人工智能对象检测与人类性能基准的评估提供了基础.
相关概念视频
Infrared (IR) Spectroscopy: Overview
When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
Different compounds display unique properties due to their...
IR Frequency Region: Fingerprint Region
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 C=O, C=N, and C=C occur between 1600–1850 cm−1.
The...
The...
Difference from Background: Limit of Detection
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
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