dc.creatorVillar, Sebastian Aldo
dc.creatorMenna, Bruno Victorio
dc.creatorTorcida, Sebastián
dc.creatorAcosta, Gerardo Gabriel
dc.date.accessioned2020-05-15T17:24:14Z
dc.date.accessioned2022-10-15T13:15:56Z
dc.date.available2020-05-15T17:24:14Z
dc.date.available2022-10-15T13:15:56Z
dc.date.created2020-05-15T17:24:14Z
dc.date.issued2019-12
dc.identifierVillar, Sebastian Aldo; Menna, Bruno Victorio; Torcida, Sebastián; Acosta, Gerardo Gabriel; Efficient Approach for OS-CFAR 2D Technique Using Distributive Histograms and Breakdown Point Optimal Concept applied to Acoustic Images; Institution of Engineering and Technology; Iet Radar Sonar And Navigation; 13; 12; 12-2019; 2071-2082
dc.identifier1751-8784
dc.identifierhttp://hdl.handle.net/11336/105252
dc.identifier1751-8792
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4390343
dc.description.abstractIn this work, a new approach to improve the algorithmic efficiency of the Order Statistic-Constant False Alarm Rate (OS-CFAR) applied in two dimensions (2D) is presented. OS-CFAR is widely used in radar technology for detecting moving objects as well as in sonar technology for the relevant areas of segmentation and multi-target detection on the seafloor. OS-CFAR rank orders the samples obtained from a sliding window around a test cell to select a representative sample that is used to calculate an adaptive detection threshold maintaining a false alarm probability. Then, the test cell is evaluated to determine the presence or absence of a target based on the calculated threshold. The rank orders allows that OS-CFAR technique to be more robust in multi-target situations and less sensitive than other methods to the presence of the speckle noise, but requires higher computational effort. This is the bottleneck of the technique. Consequently, the contribution of this work is to improve the OS-CFAR 2D with the distributive histograms and the optimal breakdown point optimal concept, mainly from the standpoint of efficient computation. In this way, the OS-CFAR 2D on-line computation was improved, by means of speeding up the samples sorting problem through the improvement in the calculus of the statistics order. The theoretical algorithm analysis is presented to demonstrate the improvement of this approach. Also, this novel efficient OS-CFAR 2D was contrasted experimentally on acoustic images.
dc.languageeng
dc.publisherInstitution of Engineering and Technology
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/8956194
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1049/iet-rsn.2018.5619
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectORDER STATISTICS - CONSTANT FALSE ALARM RATE
dc.subjectIMAGE PROCESSING
dc.subjectSIDE SCAN SONAR
dc.subjectACOUSTIC IMAGES
dc.titleEfficient Approach for OS-CFAR 2D Technique Using Distributive Histograms and Breakdown Point Optimal Concept applied to Acoustic Images
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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