Automatic Target Recognition (ATR) ATR: background statistics and the detection of targets in clutter
Fried, David L.
Davis, David Scott
MetadataShow full item record
This research investigated signal processing oftwo dimensional signals for the detection of targets in noise, particularly in complex background pattern noise. The researchers hypothesized that this type of noise was vulnerable to non-linear processing. They investigated whether the human eye/brain acting as a surrogate for a non-linear processor could outperform an optimum linear processor in a quantitative sense. The researchers did this by conducting computer experiments to determine the ability of an operator and an optimum linear filter to determine a known pattern's presence or absence in a noisy image. The performance of both the operator and optimum linear filter are recorded as probability of detection, probability of false alarm pairs, which the researchers use to determine effective signal-to-noise ratio. The performance of man verus machine (optimum linear filter) is compared quantitatively using the effective signa-to-noise ratio. Operator and machine/filter are tested against circular targets in Random White Gaussian noise and in sattellite images. The researchers report that the machine /filter outperforms the man when the details of both target and background are known in advance, but the man outperforms the machine/filter when the details are known only in a statistical sense.
Approved for public release, distribution unlimited
Showing items related by title, author, creator and subject.
Burke, Bryan T. (2000);The theory of optimum radar detection is well known and is generally implemented in expensive ASICs or supercomputers. However, today's state-of-the-art FPGAs are capable of performing relatively complex algorithms and ...
Elazar, Moshe. (Monterey, California. Naval Postgraduate School, 1995-03);Detection of small targets in the presence of noise and sea clutter interference presents a formidable task in a radar system design. Conventional radar detection schemes, such as spectral discrimination and noncoherent ...
Analysis of tracking and identification characteristics of diverse systems and data sources for sensor fusion Wilson, Dean A. (Monterey, California. Naval Postgraduate School, 2001-06);In the Command and Control mission, new technologies such as 'sensor fusion' are designed to help reduce operator workload and increase situational awareness. This thesis explored the tracking characteristics of diverse ...