Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
CFAR detection algorithm for objects in sonar images
View through CrossRef
The authors introduce a constant false alarm rate (CFAR) detection algorithm, called K‐CFAR, for automatic detection of underwater objects in sonar imagery. The K‐CFAR adopts the K ‐distribution as a statistical model of the background. An efficient closed‐form estimator for the K ‐distribution parameters is derived by the second‐order approximation of the Polygamma function without involving a numerical iterative solution. A closed‐form expression for the CFAR detection threshold is obtained by exploiting the first‐order Laguerre approximation of the K ‐distribution. Then, to increase the probability of detection, a non‐CFAR refinement to the K‐CFAR, based on the spatial feature of the objects, is proposed. Experimental results obtained from 270 real sonar images of diverse environments demonstrate the superiority of the proposed algorithm compared to the state‐of‐the‐art in terms of receiver operating characteristic curves.
Institution of Engineering and Technology (IET)
Title: CFAR detection algorithm for objects in sonar images
Description:
The authors introduce a constant false alarm rate (CFAR) detection algorithm, called K‐CFAR, for automatic detection of underwater objects in sonar imagery.
The K‐CFAR adopts the K ‐distribution as a statistical model of the background.
An efficient closed‐form estimator for the K ‐distribution parameters is derived by the second‐order approximation of the Polygamma function without involving a numerical iterative solution.
A closed‐form expression for the CFAR detection threshold is obtained by exploiting the first‐order Laguerre approximation of the K ‐distribution.
Then, to increase the probability of detection, a non‐CFAR refinement to the K‐CFAR, based on the spatial feature of the objects, is proposed.
Experimental results obtained from 270 real sonar images of diverse environments demonstrate the superiority of the proposed algorithm compared to the state‐of‐the‐art in terms of receiver operating characteristic curves.
Related Results
A New CFAR Detection Algorithm Based on Sorting Selection for Vehicle Millimeter Wave Radar
A New CFAR Detection Algorithm Based on Sorting Selection for Vehicle Millimeter Wave Radar
<div class="section abstract"><div class="htmlview paragraph">In this paper, a CFAR detection algorithm based on sorting selection is proposed for the vehicle millimete...
An Adaptive Image-stitching Algorithm for an Underwater Monitoring System
An Adaptive Image-stitching Algorithm for an Underwater Monitoring System
Against the narrow range of sonar images for underwater monitoring, an adaptive sonar image-stitching algorithm is proposed in this paper. Compared with conventional sonar image-st...
Clutter map detector for active diver detection sonar
Clutter map detector for active diver detection sonar
This study presents a temporal approach based on the clutter map for the automatic detection of divers in the active sonar system. The noisy and non‐stationary surrounding environm...
Marine Target Extraction Based on Adjoint Covariance Correction Model
Marine Target Extraction Based on Adjoint Covariance Correction Model
AbstractConstant False‐Alarm Rate (CFAR) algorithm is a mature method in marine target detection at present, the key of which is the choice of probability model. The most classical...
Distant Resonances in the Outer Solar System
Distant Resonances in the Outer Solar System
The outer Solar System preserves a reservoir of material from the formation of our planetary system and provides evidence of the distant past. Objects in the Trans-Neptunian region...
High-Resolution Acoustic Seafloor Mapping
High-Resolution Acoustic Seafloor Mapping
ABSTRACT
SeaMARC/S is a 150 kHz towed sonar mapping system that produces synoptic acoustic backscatter images and hydrographic-quality swath bathymetry charts in ...
Openwork in Early Islamic Metalwork from Khorasan and Transoxiana
Openwork in Early Islamic Metalwork from Khorasan and Transoxiana
Metalwork from Khorasan is a well-known magnitude in the history of Islamic art. Thanks to the large number of metal objects from this region, and due to the studies carried out on...
SID-TGAN: A Transformer-Based Generative Adversarial Network for Sonar Image Despeckling
SID-TGAN: A Transformer-Based Generative Adversarial Network for Sonar Image Despeckling
Sonar images are inherently affected by speckle noise, which degrades image quality and hinders image exploitation. Despeckling is an important pre-processing task that aims to rem...