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

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

384
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...
384
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

907
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...
907

You might also read

Related Articles

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

Sort by
Same author

24-Epibrassinolide treatment alleviates frost damage of apple flower via regulating proline, ROS, and energy metabolism.

Plant physiology and biochemistry : PPB·2025
Same author

Pattern of cooling benefits from ecospaces during urbanization: A case study of the Yangtze River Economic Belt.

The Science of the total environment·2024
Same author

The kinase MST4 limits inflammatory responses through direct phosphorylation of the adaptor TRAF6.

Nature immunology·2015
Same author

Obesity and risk of thyroid cancer: evidence from a meta-analysis of 21 observational studies.

Medical science monitor : international medical journal of experimental and clinical research·2015
Same author

Therapeutic effect of Cryptotanshinone on collagen-induced arthritis in rats via inhibiting nuclear factor kappa B signaling pathway.

Translational research : the journal of laboratory and clinical medicine·2015
Same author

Solitary subcutaneous gouty nodule mimicking metastatic melanoma on FDG PET/CT.

Clinical nuclear medicine·2015

Related Experiment Video

Updated: Jul 9, 2025

Characterizing Individual Protein Aggregates by Infrared Nanospectroscopy and Atomic Force Microscopy
12:58

Characterizing Individual Protein Aggregates by Infrared Nanospectroscopy and Atomic Force Microscopy

Published on: September 12, 2019

9.8K

Deep asymmetric extraction and aggregation for infrared small target detection.

Zhongwu Lin1, Yuhao Ma1, Ruixing Ming2

  • 1School of Statistics and Mathematics, Zhejiang Gongshang University, Qiantang District, Hangzhou, 310018, China.

Scientific Reports
|November 29, 2023
PubMed
Summary

This study introduces a new network for infrared small target detection, improving accuracy by retaining target details in deep layers and aggregating features. The method enhances detection performance and parameter efficiency for infrared imaging applications.

More Related Videos

Assembly, Tuning and Use of an Apertureless Near Field Infrared Microscope for Protein Imaging
12:27

Assembly, Tuning and Use of an Apertureless Near Field Infrared Microscope for Protein Imaging

Published on: November 25, 2009

9.6K
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

14.7K

Related Experiment Videos

Last Updated: Jul 9, 2025

Characterizing Individual Protein Aggregates by Infrared Nanospectroscopy and Atomic Force Microscopy
12:58

Characterizing Individual Protein Aggregates by Infrared Nanospectroscopy and Atomic Force Microscopy

Published on: September 12, 2019

9.8K
Assembly, Tuning and Use of an Apertureless Near Field Infrared Microscope for Protein Imaging
12:27

Assembly, Tuning and Use of an Apertureless Near Field Infrared Microscope for Protein Imaging

Published on: November 25, 2009

9.6K
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

14.7K

Area of Science:

  • Computer Vision
  • Artificial Intelligence
  • Signal Processing

Background:

  • Infrared small target detection is crucial for military and civilian applications.
  • Existing methods struggle with small targets due to lost details in deep feature extraction.
  • Loss of small targets in deep layers hinders effective detection.

Purpose of the Study:

  • To propose a novel network for improved infrared small target detection.
  • To address the challenge of losing small targets in deep convolutional layers.
  • To enhance both detection accuracy and parameter efficiency.

Main Methods:

  • Developed a "deep asymmetric extraction and aggregation" network.
  • Employed an asymmetric attention mechanism to enhance feature extraction and aggregation.
  • Integrated vertical feature extraction with reduced down-sampling and horizontal feature aggregation.

Main Results:

  • The proposed network effectively retains small targets in deeper layers.
  • Shallow spatial and deep semantic features are aggregated to highlight targets.
  • Demonstrated superior performance over state-of-the-art methods on public datasets.
  • Achieved higher detection accuracy and better parameter efficiency.

Conclusions:

  • The novel network effectively overcomes limitations of common methods for infrared small target detection.
  • Asymmetric attention and feature aggregation significantly improve small target identification.
  • The approach offers a promising solution for enhanced infrared surveillance and tracking.