Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

2.0K
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...
2.0K
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

1.0K
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...
1.0K
IR Spectrometers01:25

IR Spectrometers

1.2K
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...
1.2K
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

450
Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...
450
IR Spectrum01:19

IR Spectrum

1.1K
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%...
1.1K
IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

2.6K
When Infrared (IR) radiation passes through a covalently bonded molecule, the bonds transition from lower to higher vibrational levels. The fundamental vibrational motions that result in infrared absorption can be classified as stretching or bending vibrations.
Stretching vibrations are vibrational motions that occur along the bond line, changing the bond length or distance between two bonded atoms. They are further distinguished as symmetric or asymmetric. In symmetric stretching, the...
2.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Dehydrocostus Lactone Activates Nrf2 Signaling Pathway to Attenuate Oxidative Stress, Inflammation, and Excessive Autophagy in a Mouse Model of Chronic Obstructive Pulmonary Disease.

Inflammation·2026
Same author

Investigation on the effects of two soybean-wheat ratio and sterilization on the sensory attributes and bioactivity of soy sauce.

Food chemistry·2026
Same author

CBCT-based synthetic MRI generation for target localization during deep inspiration breath hold (DIBH) abdominal radiotherapy.

Physics in medicine and biology·2026
Same author

RING1 is an Integrin α5 E3 ubiquitin ligase and inhibits esophageal squamous cell carcinoma cell migration and metastasis.

Cellular signalling·2026
Same author

Aqueous-Phase Formation of Nitrogen-Containing Secondary Organic Aerosols in China Winter Haze Continuously Enhanced in the Past Decade.

Environmental science & technology·2026
Same author

Mesenchymal stem cell alleviate concanavalin A-induced hepatitis via immune reprogramming and complement regulation.

Frontiers in immunology·2026

Related Experiment Video

Updated: Aug 10, 2025

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy
07:53

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy

Published on: August 5, 2022

2.1K

RADFNet: An infrared and visible image fusion framework based on distributed network.

Siling Feng1, Can Wu1, Cong Lin1

  • 1College of Information and Communication Engineering, Hainan University, Haikou, China.

Frontiers in Plant Science
|February 10, 2023
PubMed
Summary

This study introduces RADFNet, a novel infrared and visible image fusion method for intelligent agriculture. RADFNet enhances image quality and perception by effectively combining features from both image types.

Keywords:
distributed fusionedge attentionimage enhancementintelligent agriculturemultiscale channel attention

More Related Videos

High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology
11:05

High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology

Published on: January 21, 2015

33.3K
Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function
11:35

Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function

Published on: December 8, 2010

16.6K

Related Experiment Videos

Last Updated: Aug 10, 2025

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy
07:53

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy

Published on: August 5, 2022

2.1K
High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology
11:05

High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology

Published on: January 21, 2015

33.3K
Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function
11:35

Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function

Published on: December 8, 2010

16.6K

Area of Science:

  • Computer Vision
  • Artificial Intelligence
  • Image Processing

Background:

  • Intelligent agricultural systems rely on accurate environmental perception.
  • Variations in the agricultural environment can degrade image quality and information perception.
  • Fusion of infrared and visible images offers a potential solution to enhance image quality.

Purpose of the Study:

  • To propose a novel distributed fusion architecture for infrared and visible images.
  • To improve the information perception capabilities of intelligent agricultural systems.
  • To enhance the quality of fused images by preserving target and texture details.

Main Methods:

  • A distributed fusion architecture, RADFNet, is proposed, utilizing residual CNN (RDCNN), edge attention, and multiscale channel attention.
  • The network employs a three-channel structure with a distributed framework for progressive fusion.
  • Two novel loss functions, pixel strength with texture loss and structure similarity with texture loss, are designed to improve feature learning and fusion quality.

Main Results:

  • Extensive experiments on public datasets validate the superior performance of RADFNet.
  • The proposed model significantly improves fusion quality compared to existing methods.
  • Quantitative metrics and visual effects demonstrate comparable results to state-of-the-art algorithms.

Conclusions:

  • RADFNet effectively fuses infrared and visible images, enhancing image quality for intelligent agriculture.
  • The distributed fusion architecture and attention mechanisms contribute to superior performance.
  • The model shows promise in overcoming environmental perception challenges in intelligent agricultural systems.