Results 241 to 250 of about 6,799,249 (280)

Normalized residual-based constant false-alarm rate outlier detection

Pattern Recognition Letters, 2016
Abstract Outlier detection is an important issue in machine learning and knowledge discovery. The aim is to find the patterns that deviate too much from others. In this paper, we consider constant false-alarm rate (CFAR) outlier detection, and propose a supervised detection method based on normalized residual (NR).
Zhitao Huang, Wenli Jiang
exaly   +3 more sources

Generalized Censored Cell Averaging Constant False Alarm Rate Processors

2020 28th Signal Processing and Communications Applications Conference (SIU), 2020
In this study, a new constant false alarm rate (CFAR) processor has been developed to increase the probability of detection in nonhomogeneous environment and its comparative performance analysis with different censorship techniques given in the literature have been investigated.
Akaydin, Abdullah, ÜNER, MÜCAHİT KANİ   +1 more
exaly   +3 more sources

Constant false alarm rate detection of saccadic eye movements in electro-oculography

Computer Methods and Programs in Biomedicine, 2009
The analysis of eye movements has proven to be valuable in both clinical work and research as well as in other fields besides medicine. The detection of saccadic eye movements and the extraction of related saccade parameters, such as maximum angular velocity, amplitude, and duration, are usually performed during the analysis of electro-oculographic ...
exaly   +4 more sources

A Multi-Beam Seafloor Constant False Alarm Detection Method Based on Weighted Element Averaging

Journal of Marine Science and Engineering, 2023
Due to the influence of environmental noise, sidelobe data, and tunnel emission under the background of multi-background underwater surveying and mapping, it is challenging to detect seafloor terrain in the background noise.
Chao Li, Guanying Huo, Haisen Li
exaly   +2 more sources

Radar detection in the moments space with constant false alarm rate

Digital Signal Processing, 2021
Abstract Radar detection in environments where the power and variability of interference hinders the location of targets is of great importance. Many efforts are directed towards the development of adaptive techniques that process the eco-signals in order to increase the detection quality and to maintain a constant false alarm rate (CFAR).
Camilo Guillén, Nelson Chávez, Jesús Bacallao   +2 more
openaire   +2 more sources

Constant false alarms rate for fault detection

2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B), 2017
Fault detection needs to be accurate and precise to make right decisions about the systems operation status, unfortunately, monitoring processes via multivariate statistical control (MSPC) such as principal component analysis (PCA) arises the problem of false alarms. One solution to this problem is to increase the confidence intervals of the monitoring
Mustapha Ammiche, Abdelmalek Kouadri
openaire   +1 more source

Constant false alarm rate in fire detection for MODIS data

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005
Abstract : This paper introduces the concept of Constant False Alarm Rate (CFAR) in fire detection for multispectral satellite data. A new algorithm is proposed, based on a technique successfully applied for detection of extended objects in High Resolution SAR images.
Maurizio di Bisceglie, Roberto Episcopo, Carmela Galdi, Silvia Liberata Ullo   +3 more
openaire   +2 more sources

Constant False Alarm Rate Processors Based on Range Ordered Statistics

2020 28th Signal Processing and Communications Applications Conference (SIU), 2020
Constant false alarm rate (CFAR) processors are used to detect radar targets in the nonstationary background noise distribution with unknown parameters. In this study, a new CFAR processor based on Range Ordered Statistics (ROS) is proposed. In homogeneous background, for a given probability of false alarm, the probability of detection expression of ...
Alperen Elihos, Mücahit K. Üner
openaire   +1 more source

Automated threshold selection for a constant false alarm rate

SPIE Proceedings, 2003
The utility of Constant False Alarm Rate (CFAR) algorithms is that the selection of a detection threshold may be made independently of image intensity. However, wide application of the algorithms shows that detection values are highly dependent on scene characteristics.
Suzanne P. Stetson, Frank J. Crosby
openaire   +1 more source

Comparative Performance Analysis of Constant False Alarm Rate Processors Based on Order Statistics

, 2019
in this study, the detection performance of constant false alarm rate (CFAR) processors based on reference window cells censoring techniques in nonhomogeneous (interfering targets) environment was investigated. In homogeneous environment, the false alarm
Akaydin, Abdullah, Mucahit Kani Uner, Abdullah Akaydin, ÜNER, MÜCAHİT KANİ   +3 more
exaly   +2 more sources