Title :
Research of Decision Classification of Underwater Object Echo based on Fuzzy Integral
Author :
Donghu Nie ; Li, Donghu Nie êXueyao ; Zhang, Rubo ; Peng, Yuan ; Lin, Liangji
Author_Institution :
Sch. of Comput. Sci. & Technol., Harbin Eng. Univ.
Abstract :
Underwater object recognition is one of three crucial technologies of underwater acoustic equipments development. Only partial information describing objects can be acquired in single sensor that is not enough for object classification. Method of decision fusion of underwater object echo signal, based on theory of fuzzy integral and fuzzy measure, was studied to integrate primary recognition result from multi-general-sensors to raise recognition rate. Five features were extracted from data collected on the sea to prove the performance of this method, including modul maxima power feature of continual dissymmetry Gauss wavelet, crossing-zero feature, wavelet coefficient amplitude feature, Wigner feature and Walsh feature. Recognition rate is increased by approximately 9 percent
Keywords :
Gaussian processes; Walsh functions; Wigner distribution; acoustic imaging; acoustic signal processing; feature extraction; fuzzy set theory; image classification; object recognition; underwater sound; wavelet transforms; Walsh feature; Wigner feature; continual dissymmetry Gauss wavelet; crossing-zero feature; decision classification; decision fusion; feature extraction; fuzzy integral; fuzzy measure; modul maxima power feature; object classification; underwater acoustics; underwater object echo signal; underwater object recognition; wavelet coefficient amplitude feature; Acoustic measurements; Acoustic sensors; Data mining; Feature extraction; Gaussian processes; Object recognition; Sea measurements; Sensor phenomena and characterization; Underwater acoustics; Wavelet coefficients; Decision Fusion; Feature Abstract; Fuzzy Integral; Object Echo;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713935