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

2.4K
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...
2.4K
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

1.1K
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...
1.1K
IR Spectrum01:19

IR Spectrum

1.3K
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%...
1.3K
IR Spectrometers01:25

IR Spectrometers

1.5K
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...
1.5K
IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

2.9K
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...
2.9K
Detection of Black Holes01:10

Detection of Black Holes

2.3K
Although black holes were theoretically postulated in the 1920s, they remained outside the domain of observational astronomy until the 1970s.
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...
2.3K

You might also read

Related Articles

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

Sort by
Same author

An intramuscular prime-intranasal boost strategy for mRNA-LNP vaccine induces mucosal immune response against SARS-CoV-2 in murine model.

Journal of translational medicine·2026
Same author

Standardized neutralizing antibody assay for Coxsackievirus A10 in clinical trial: A framework for multivalent hand, foot, and mouth disease vaccine evaluation.

Human vaccines & immunotherapeutics·2026
Same author

Comparative efficacy of levosimendan and dobutamine in sepsis-related cardiac impairment: a meta-analysis.

European journal of clinical pharmacology·2026
Same author

SOX6 is a novel host factor that promotes hepatitis B virus replication by enhancing the transcriptional activity of enhancer I.

Antiviral research·2026
Same author

Anti-tumor analysis of the RIG-I agonist in <i>vitro</i> and <i>in vivo</i>.

Biochemistry and biophysics reports·2026
Same author

Relationship between TyG index, TyG-BMI and MACE events after percutaneous coronary intervention.

European journal of medical research·2025

Related Experiment Video

Updated: Sep 16, 2025

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS
11:04

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS

Published on: May 3, 2011

14.8K

Infrared Ship Detection in Complex Nearshore Scenes Based on Improved YOLOv5s.

Xiuwen Liu1, Mingchen Liu1, Yong Yin1

  • 1Key Laboratory of Marine Simulation and Control, Navigation College, Dalian Maritime University, Dalian 116026, China.

Sensors (Basel, Switzerland)
|July 12, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces CGSE-YOLOv5s, an improved algorithm for ship detection in complex nearshore infrared images. It enhances accuracy in challenging environments, crucial for maritime safety and shipping.

Keywords:
YOLOv5sinfrared visionnearshore watersship detection

More Related Videos

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

4.0K
O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
06:50

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Published on: November 8, 2019

6.7K

Related Experiment Videos

Last Updated: Sep 16, 2025

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS
11:04

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS

Published on: May 3, 2011

14.8K
Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

4.0K
O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
06:50

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Published on: November 8, 2019

6.7K

Area of Science:

  • Maritime technology
  • Computer vision
  • Remote sensing

Background:

  • Navigational safety in nearshore waters is vital for the shipping economy.
  • Ship detection technology faces challenges in dense, complex nearshore environments.
  • Infrared vision offers superior performance over visible light for all-weather target detection.

Purpose of the Study:

  • To develop an advanced ship detection algorithm for complex nearshore infrared scenarios.
  • To address limitations of existing methods in dense vessel distributions and cluttered backgrounds.
  • To improve the accuracy and reliability of ship identification and classification.

Main Methods:

  • Proposed CGSE-YOLOv5s algorithm, an enhancement of YOLOv5s.
  • Incorporated Contrast Limited Adaptive Histogram Equalization with Gaussian Filtering for edge enhancement.
  • Replaced C3 module with Swin Transformer-based C3STR module to reduce multi-scale false detections.
  • Implemented Efficient Channel Attention mechanism to amplify target features.

Main Results:

  • CGSE-YOLOv5s achieved a mean average precision (mAP@0.5) of 94.8%.
  • Demonstrated a 1.3% improvement over the standard YOLOv5s.
  • Outperformed other existing ship detection algorithms in nearshore infrared scenarios.

Conclusions:

  • The proposed CGSE-YOLOv5s algorithm significantly enhances ship detection in complex nearshore infrared environments.
  • The integrated enhancements effectively address challenges posed by dense vessel distributions and complex backgrounds.
  • This technology contributes to improved navigational safety and sustainable development of the shipping economy.