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

You might also read

Related Articles

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

Sort by
Same author

Dual-Encoder UNet-Based Narrowband Uncooled Infrared Imaging Denoising Network.

Sensors (Basel, Switzerland)·2025
Same author

A Simulation Method for Underwater SPAD Depth Imaging Datasets.

Sensors (Basel, Switzerland)·2024
Same author

[Separation and determination of furanocoumarins in shatian pomelo juice by HPLC-MS].

Se pu = Chinese journal of chromatography·2007
Same author

Effect of neuregulin-1 on histopathological and functional outcome after controlled cortical impact in mice.

Journal of neurotrauma·2007
Same author

Decreased expression of ING2 gene and its clinicopathological significance in hepatocellular carcinoma.

Cancer letters·2007
Same author

Compound Salvia droplet pill, a traditional Chinese medicine, for the treatment of unstable angina pectoris: a systematic review.

Medical science monitor : international medical journal of experimental and clinical research·2007
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jun 21, 2025

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

405

Underwater Single-Photon 3D Reconstruction Algorithm Based on K-Nearest Neighbor.

Hui Wang1, Su Qiu1, Taoran Lu1

  • 1MOE Key Laboratory of Photoelectronic Imaging Technology and System, Beijing Institute of Technology, Beijing 100081, China.

Sensors (Basel, Switzerland)
|July 13, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new algorithm using K-nearest neighbor (KNN) to improve underwater depth profile reconstruction from single-photon avalanche diode (SPAD) imaging. The method enhances image quality by reducing scattering effects, leading to more accurate target detection.

Keywords:
3D reconstructionK-nearest neighbor algorithmSPADsingle-photon imagingunderwater imaging

More Related Videos

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
09:32

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Published on: November 20, 2017

9.2K
A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
12:49

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

12.8K

Related Experiment Videos

Last Updated: Jun 21, 2025

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

405
Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
09:32

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Published on: November 20, 2017

9.2K
A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
12:49

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

12.8K

Area of Science:

  • Photonics and Optical Engineering
  • Computer Vision and Image Processing
  • Oceanographic Technology

Background:

  • Single-photon avalanche diodes (SPADs) offer high sensitivity and time resolution for underwater detection.
  • Backward-scattering in water degrades the quality of reconstructed images from SPAD systems.
  • Existing reconstruction methods like pixel accumulation are insufficient in highly scattering environments.

Purpose of the Study:

  • To develop a novel algorithm for high-resolution underwater depth profile reconstruction.
  • To address the limitations of current methods in scattering conditions.
  • To improve the accuracy of underwater target detection and imaging.

Main Methods:

  • Proposed an algorithm utilizing K-nearest neighbor (KNN) for target and background classification.
  • Applied KNN to reconstruct high-resolution depth profiles from time-photon histograms.
  • Validated the algorithm using public experimental and simulated underwater datasets.

Main Results:

  • The K-nearest neighbor (KNN) algorithm significantly improved depth profile reconstruction accuracy.
  • Achieved a 57.12% reduction in RMSE for land targets and 23.45% for simulated underwater targets.
  • Demonstrated enhanced performance for pixel accumulation and depth estimation algorithms.

Conclusions:

  • The proposed KNN-based algorithm effectively reconstructs high-resolution depth profiles from time-photon histograms.
  • This method overcomes challenges posed by underwater scattering, improving imaging accuracy.
  • The algorithm contributes to advancing underwater detection and imaging capabilities.