Pattern recognition and image analysis
Pattern recognition and image analysis
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
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Rosette scan infrared seeker is a single or double band detector with rosette pattern which is mounted on the thermal tracking missiles. It offers the imaging information of target to the processing unit. Planes keep themselves safe against the thermal tracking missiles by discharging flares. The flares are false targets released in different periods of time in discontinuous format to misguide the seeker. In the processing unit of the missile, all of the received samples are clustered, classified, and then the center of each class is determined. The conventional clustering techniques on the rosette pattern are unable to classify all samples correctly. A new clustering method is proposed in this paper. This algorithm makes small groups from the neighborhood local features and then merges the reconstructed groups to the real clusters. Also, a new technique to compute the centroid of each class is introduced. The method is robust against the variation of class radius, and more precise in comparison with previous methods. Exploiting the proposed clustering method and features, real target is discriminated from flares, and missile tracks the target in a correct trajectory.