多分辨率多传感器目标识别

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI:10.1109/MFI.1994.398412

Z. Korona, M. Kokar

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引用次数: 4

摘要

提出了一种多分辨率多传感器目标识别算法。该方法在识别过程中采用计算效率高的尺度序列方法进行假设检验，并采用离散逆小波变换融合不同多分辨率传感器的数据。作者表明，融合导致正确识别的概率增加，而没有显著增加计算量。

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Multiresolutional multisensor target identification

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.<>

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Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems

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