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Final results are generated by a radiocarbon calculator that allows a user to select which target measurements to treat as samples, standards and blanks, and calculates the desired values (i.e. conventional radiocarbon age, percent modern carbon, etc).
True tracks always follow the target measurements, whereas false tracks do not follow the target measurements.
In order to extract target measurements, traditional tracking methods apply a detection threshold at every scan.
The system must be able to establish which measurements can serve as references to which other target measurements.
In a cluttered environment, the target measurements are present with a low probability of detection P D in each scan.
Once target measurements are received, an important process denoted data association must be applied to determine the exact associated relationship between measurements and predicted objects.
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At target - Measurement in exactly the specified column direction.
The article illustrates how the Antecedent Target Measurement (ATM) approach to logic modeling was adapted to meet this challenge.
With the merits of real-time performance, high accuracy and robustness, the proposed image processing method is promising for applications in biomedical image processing, infrared surveillance and target measurement and tracking.
A filtering algorithm is employed to the data set of each target measurement in an attempt to achieve a Gaussian distribution.
The real-time detection method with high robustness and accuracy is attractive for application to all types of real-time small target detection systems, such as medical imaging, infrared surveillance, and target measurement and tracking, where an ultra-high processing speed is required.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com