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Automatic target recognition

Automatic target recognition (ATR) is the ability for an algorithm or device to recognize targets or other objects based on data obtained from sensors.

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Automatic target recognition

Nodes31
Edges30
Triples10
Avg. degree1.94
Density0.064516
Components1

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Important terminology

target signal radar targets used recognition using atr data done identify features applications automated vehicles frequency database object doppler trained

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
animalsinstance ofATR can be used to identify man-made objects such as ground and air vehicles as well as for biological targets0.80text
humansinstance ofATR can be used to identify man-made objects such as ground and air vehicles as well as for biological targets0.80text
and vegetative clutterinstance ofATR can be used to identify man-made objects such as ground and air vehicles as well as for biological targets0.80text
an IFF transponderinstance ofThis can be useful for everything from recognizing an object on a battlefield to filtering out interference caused by large flocks of birds on Doppler weather radar.Possible mil…0.80text
and is used in other applications such as unmanned aerial vehiclesinstance ofThis can be useful for everything from recognizing an object on a battlefield to filtering out interference caused by large flocks of birds on Doppler weather radar.Possible mil…0.80text
cruise missilesinstance ofThis can be useful for everything from recognizing an object on a battlefield to filtering out interference caused by large flocks of birds on Doppler weather radar.Possible mil…0.80text
speech recognition.OverviewMicro-Doppler EffectRadar determines the distance an object is away by timing how long it takes the transmitted signal to return from the target that is illuminated by this signalinstance ofSeveral classifications schemes that have been developed use features of the baseband signal that have been used in other audio applications0.80text
the Gabor transform or the Wigner distribution functioninstance ofmore robust methods0.80text
maximum likelihoodinstance ofThis is done by modeling the received signal then using a statistical estimation method0.80text
speech recognitioninstance ofSeveral classifications schemes that have been developed use features of the baseband signal that have been used in other audio applications0.80text

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