AI Article Synopsis
- Laser range-gated underwater imaging improves image contrast and detection range by minimizing backscattering noise, but its effectiveness is limited in low reflectivity and turbid water environments.
- The paper suggests enhancing this technology by incorporating underwater polarized light imaging, which can distinguish between backscattered and reflected light based on polarization differences.
- Experimental results show that the polarization-enhanced system can increase image quality by up to 47%, widening its potential applications in areas like deep-sea exploration and military uses.
Article Abstract
Laser range-gated underwater imaging technology, by removing most of the backscattering noise, can effectively increase image contrast and extend the detection range. The optical signal captured by a range-gated imaging system primarily comprises reflected light from the object and backscattered light from the surrounding water. Consequently, surfaces with low reflectivity or highly turbid water environments substantially constrain the applicability of the range-gated imaging system. To enhance the detection capability of underwater laser range-gated imaging, this paper proposes the incorporation of underwater polarized light imaging technology as an enhancement method. Based on polarization differences, backscattered light and reflected light from an object can be distinguished. Experimental results indicate that, compared to images obtained using a conventional range-gated laser imaging system, those captured with a polarization-enhanced system exhibit an increase of up to 47% for the corresponding Enhancement Measure Evaluation (EME) index. The proposed approach, which integrates polarization imaging with range-gated laser imaging, has the potential to broaden the applicability of underwater laser imaging scenarios, such as deep-sea exploration and military applications.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11511323 | PMC |
| http://dx.doi.org/10.3390/s24206681 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
3D Range-gated Imaging (3DRGI) has great potential for long-range detection in adverse weather conditions. Recently, vision-guided 3DRGI has brought new perspectives to this area as it overcomes hardware limitations and greatly increases flexibility. However, existing vision-guided methods do not consider the optical properties of range-gated imaging, which results in low accuracy.
View Article and Find Full Text PDFArticle Synopsis
- The extinction coefficient is key for understanding how light interacts with scattering mediums, but current techniques have limitations in accuracy for spatial analysis.
- A new method is proposed that uses range-gated detection to measure the extinction coefficient through backscattering signals from multiple spatial slices of the medium.
- Experiments show this approach can accurately determine extinction coefficients in fog and smoke with errors under 5%, making it useful for environmental monitoring and improving defogging imaging technology.*
Polarization-Enhanced Underwater Laser Range-Gated Imaging for Subaquatic Applications.
Sensors (Basel)
October 2024
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Article Synopsis
- Laser range-gated underwater imaging improves image contrast and detection range by minimizing backscattering noise, but its effectiveness is limited in low reflectivity and turbid water environments.
- The paper suggests enhancing this technology by incorporating underwater polarized light imaging, which can distinguish between backscattered and reflected light based on polarization differences.
- Experimental results show that the polarization-enhanced system can increase image quality by up to 47%, widening its potential applications in areas like deep-sea exploration and military uses.
Light Detection and Ranging (LiDAR) has been widely adopted in modern self-driving vehicles and mobile robotics, providing 3D information of the scene and surrounding objects. However, LiDAR systems suffer from many kinds of noise, and its noisy point clouds degrade downstream tasks. Existing LiDAR point cloud de-noising methods are time-consuming or cannot deal with the noise caused by occlusions or penetrating transparent surfaces.
View Article and Find Full Text PDFRange-Intensity-Profile-Guided Gated Light Ranging and Imaging Based on a Convolutional Neural Network.
Sensors (Basel)
March 2024
Optoelectronic System Laboratory, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China.
Three-dimensional (3D) range-gated imaging can obtain high spatial resolution intensity images as well as pixel-wise depth information. Several algorithms have been developed to recover depth from gated images such as the range-intensity correlation algorithm and deep-learning-based algorithm. The traditional range-intensity correlation algorithm requires specific range-intensity profiles, which are hard to generate, while the existing deep-learning-based algorithm requires large number of real-scene training data.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!