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...
Vibration detection method for optical fibre pre‐warning system
Vibration detection method for optical fibre pre‐warning system
The measurement of optical fibre vibration is a key part of optic fibre pre‐warning system, which has gradually focused on phase‐sensitive optical time‐domain reflectometer. Howeve...
A New Adaptive CFAR Detector
A New Adaptive CFAR Detector
A new CFAR detector based on Grubbs statistic called G-CFAR detector is proposed and its detection architecture is given.in this paper. Also the values of the threshold in differen...
Improving aerial target detection for 3D radar based on a two-stage CFAR method with adaptive clutter distribution estimation
Improving aerial target detection for 3D radar based on a two-stage CFAR method with adaptive clutter distribution estimation
This study deals with the problem of enhancing aerial target detection for 3D radar. A novel approach which incorporates both signal and data processing is introduced. In order to ...
Modified rank sum nonparametric CFAR to combat clutter edge
Modified rank sum nonparametric CFAR to combat clutter edge
AbstractThe classical rank sum (RS) nonparametric constant false alarm rate (CFAR) detector plays an important role in the theoretical study and practical application of radar targ...
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...
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...
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...