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Hausdorff distance for target detection

2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353), 2003
The paper presents a system for target detection in static images based on the Hausdorff distance. The Hausdorff distance can determine the degree of resemblance between an image and a model. As such, the proposed system uses this distance as a cost function for the template matching task.
GASTALDO, PAOLO, ZUNINO, RODOLFO
openaire   +2 more sources

Target detectability in acoustic elastography

IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 1999
The clinically relevant task of visually detecting low contrast targets in noisy strain images estimated from ultrasonic signals is studied. Detectability is measured quantitatively using contrast-to-noise ratio (CNR) analysis. Contrast in strain images is generated by a complex interaction among the soft tissue elasticity shear modulus distribution ...
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Target Detection

2018
Target detection means to illuminate the target and then calculate its parameters, such a range, speed, azimuth, and altitude. The target range can be obtained using one of several methods: by calculating the time between the detected target echo and the transmitted wave, then calculating the difference in frequency between the received echo and the ...
openaire   +1 more source

Target Estimation, Detection, and Tracking

IEEE Signal Processing Magazine, 2009
In this article, we explore the adaptive design of radar polarization waveforms for optimal performance, when the statistical properties of the target and clutter are unknown. We focus on a closed-loop system that sequentially estimates the target and clutter scattering parameters, and then uses these estimates to select the polarization of the ...
Martin Hurtado   +2 more
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Estimating the Detectability of Target Luminances

Human Factors: The Journal of the Human Factors and Ergonomics Society, 1972
The literature on the absolute threshold for seeing was used to develop a method for estimating the probability of detection of a light given only the luminance threshold value as information, and for predicting the luminance threshold as a function of target size and duration.
W H, Teichner, M J, Krebs
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Retinal eccentricity and the detection of targets

Psychological Research, 1989
It is known that the detectability of a target depends on its similarity to the individual context elements. This article attempts to show that global properties of the context can also influence detection performance. For example, the detection of an O among several Hs appears to be easier than the detection of an H among several Os, because the ...
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Detection of Multiple Targets in an Image

2018 21st International Conference on Information Fusion (FUSION), 2018
Detecting the locations of multiple targets in image frames remains a challenging problem in various applications including target tracking, robotics and autonomous systems. Most of the existing approaches developed to address this problem rely on threshold based detection and are ad-hoc natured; there are no systematic approaches to detect multiple ...
openaire   +1 more source

Coherent Detection of Targets in Clutter.

1996
The area of research dedicated to the design and optimisation of radar detection schemes is a constantly evolving held of study. This paper contributes to the held of parametric detection by utilising the Generalised Bessel Function K (GBK) distribution with parameter c = 2, (the Jakeman-Tough model), as a model for radar clutter in the design of an ...
Smith, JC, Martin, M, Iskander, DR
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Probability of detection for fluctuating targets

IEEE Transactions on Information Theory, 1960
This report considers the probability of detection off a target by a pulsed search radar, when the target has a fluctuating cross section. Formulas for detection probability are derived, and curves off detection probability vs, range are given, for four different target fluctuation models. The investigation shows that, for these fluctuation models, the
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Target-to-Anomaly Conversion for Hyperspectral Anomaly Detection

IEEE Transactions on Geoscience and Remote Sensing, 2022
Chein-I Chang
exaly  

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