Title :
Multiresolutional multisensor target identification
Author :
Korona, Zbigniew ; Kokar, Mieczyslaw M.
Author_Institution :
Dept. of Ind. Eng. & Inf. Syst., Northeastern Univ., Boston, MA, USA
Abstract :
An algorithm for multiresolutional multisensor target identification is presented. It uses the computationally efficient scale sequential approach to hypothesis testing during identification and implements the inverse discrete wavelet transform to fuse data from different multiresolution sensors. The authors show that fusion leads to an increase in the probability of correct identification without a significant increase in the number of computations
Keywords :
filtering theory; object recognition; sensor fusion; wavelet transforms; hypothesis testing; inverse discrete wavelet transform; multiresolutional multisensor target identification; probability; scale sequential approach; Discrete wavelet transforms; Filtering; Filters; Frequency; Fuses; Industrial engineering; Information systems; Sensor fusion; Sequential analysis; Signal resolution;
Conference_Titel :
Multisensor Fusion and Integration for Intelligent Systems, 1994. IEEE International Conference on MFI '94.
Conference_Location :
Las Vegas, NV
Print_ISBN :
0-7803-2072-7
DOI :
10.1109/MFI.1994.398412
