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 Experiment Video

Updated: Apr 19, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

1.2K

Scatter-aware interaction network for robust SAR object detection.

Wenchen Li1, Lichun Shi2, Gaolin Li3

  • 1School of Engineering Science, Shandong Xiehe University, Jinan, 250107, China. liwenchen1@sdxiehe.edu.cn.

Scientific Reports
|April 17, 2026
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Precision Medicine Targets in Glymphatic System Dysfunction: A Genomic and Molecular Perspective.

ACS chemical neuroscience·2026
Same author

Dynamic Color-Tunable Dual Room Temperature Phosphorescence via Activation of Both Host and Guest Triplet States.

Angewandte Chemie (International ed. in English)·2026
Same author

Multivariate genetic architecture of poor sleep quality.

Frontiers in neuroscience·2026
Same author

Sentinel-Net for anomaly events detection of meteorological stations monitoring.

Scientific reports·2025
Same author

Endovascular thrombectomy in a patient with ischemic stroke and vertebrobasilar dolichoectasia: A case report.

Medicine·2025
Same author

Enhancing glymphatic transport through angiotensin II type 2 receptor activation promotes neurological recovery after traumatic brain injury.

Theranostics·2025
See all related articles

Synthetic aperture radar (SAR) object detection is improved by the new Scatter-Aware Interaction Network (SAI-Net). SAI-Net enhances accuracy and localization in complex scenes by addressing noise and clutter.

Area of Science:

  • Remote Sensing
  • Computer Vision
  • Artificial Intelligence

Background:

  • Synthetic aperture radar (SAR) object detection faces challenges in complex environments like harbors due to speckle noise and clutter.
  • These issues cause missed detections, false alarms, and unstable object localization.

Purpose of the Study:

  • To develop an advanced object detection framework for SAR imagery in complex backgrounds.
  • To improve accuracy, reduce false alarms, and enhance localization stability for SAR object detection.

Main Methods:

  • Proposed Scatter-Aware Interaction Network (SAI-Net) with three components: Shift-wise Conv (SWC) backbone, BiFPN-Rep Residual (BRR) Fusion neck, and Enhanced AIFI (E-AIFI).
  • SWC backbone for multi-scale feature extraction with enlarged receptive fields.
Keywords:
Adaptive sparse self-attentionEnd-to-end detectionMulti-scale feature fusionSAR object detectionScatter awarenessShift-wise Conv

More Related Videos

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware
08:13

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Published on: December 25, 2017

8.8K

Related Experiment Videos

Last Updated: Apr 19, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

1.2K
SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware
08:13

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Published on: December 25, 2017

8.8K
  • BRR Fusion neck for stable multi-scale feature fusion with cross-scale alignment.
  • E-AIFI for scatter-aware interactive encoding, including self-attention and feed-forward modules.

    • Main Results:

    • SAI-Net demonstrated consistent improvements in overall accuracy on OGSOD and HRSID datasets.
    • Significant enhancements were observed in small-object detection and strict localization metrics.
    • The proposed scatter-aware interaction and cross-scale fusion effectively addressed challenges in complex SAR scenarios.

    Conclusions:

    • SAI-Net offers an effective end-to-end solution for SAR object detection in challenging environments.
    • The framework's design successfully mitigates the impact of speckle noise and clutter.
    • SAI-Net provides a robust approach for accurate and stable object detection in complex SAR imagery.