Results 281 to 290 of about 1,688,460 (309)

Detection Probability of Airborne AIS

Applied Mechanics and Materials, 2013
Aiming at the small coverage of shore-based AIS and complicated structure of space-based AIS, airborne AIS is chosen to increase the coverage effectively. This paper gives the calculation method of the maximum transmission distance, and then establishes the detection probability model of the airborne AIS.
She Xiang Ma, Jin Sun, Yong Qiang Guan
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Sliding Window Detection Probabilities

IEEE Transactions on Aerospace and Electronic Systems, 1976
A method is proposed for computing sliding window detection probabilities which have applications in track-while-scan acquisition logic and radar detection theory. The sliding window probability is the probability of achieving m successes out of n consecutive events at least once by the Nth opportunity.
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Parts-probability-based vehicle detection

Science China Information Sciences, 2014
Detecting vehicles is important in aerial surveillance. Traditional methods used classifiers to detect vehicles, but a single classifier was limited to detecting vehicles of only one intensity and orientation. Therefore, the task required the use of multiple classifiers of different intensities and orientations.
Long Chen, ZhiGuo Jiang, Hao Feng
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Probability of Detecting an Earthquake

Bulletin of the Seismological Society of America, 2008
We present a new method for estimating earthquake detection proba- bilities that avoids assumptions about earthquake occurrence, for example, the event-size distribution, and uses only empirical data: phase data, station infor- mation, and network-specific attenuation relations.
D. Schorlemmer, J. Woessner
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ProMask: Probability mask representation for skeleton detection

Neural Networks, 2023
Detecting object skeletons in natural images presents challenges due to varied object scales and complex backgrounds. The skeleton is a highly compressing shape representation, which can bring some essential advantages but cause difficulties in detection. This skeleton line occupies a small part of the image and is overly sensitive to spatial position.
Xiuxiu Bai, Lele Ye, Zhe Liu, Bin Liu
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Bivariate probability-based anomaly detection

2014 International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC2014), 2014
Statistical techniques play a crucial role in anomaly detection. Although they usually are simple and can be trained unsupervised, they face three challenges: parametric techniques usually rely on the assumption that the data meet a special distribution; existing Histogram-based techniques only take account of individual attribute, which cannot capture
Hua Lou, Ye Zhu
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Site Occupancy Models with Heterogeneous Detection Probabilities

Biometrics, 2005
Summary Models for estimating the probability of occurrence of a species in the presence of imperfect detection are important in many ecological disciplines. In these “site occupancy” models, the possibility of heterogeneity in detection probabilities among sites must be considered because variation in abundance (and other factors) among sampled sites ...
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Efficient calculation of detection probabilities

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2010
Radiation transport simulations have found wide use as a detector and system design tool for smuggled nuclear material interdiction applications. A major obstacle to the utility of Monte Carlo radiation transport to this class of problems is the computational burden associated with simulating a spanning set of threat scenarios.
Gregory G. Thoreson, Erich A. Schneider
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The probability of target detection

2008 International Radar Symposium, 2008
The paper deals with the most interesting problem of the probability of radar target detection. In this paper there are derived probability relations of radar target detection in a covered radar zone for a single-frequency and double-frequency radar sensors. The starting point of the analyses is fluctuations of radar cross section.
Jozef Tkac, Stefan Spirko, Peter Sedivy
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Calculation of Detection Probabilities for Automated Change Detection

IEEE Transactions on Aerospace and Electronic Systems, 1974
A general model is presented for calculating detection and falsealarm probabilities for the automated change detector. The model is then applied to determine PD'PF for the ?target-no target? type change; the resulting PD and PF are compared to the one-channel case.
William S. McCormick, Carroll F. Lam
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