Adaptive Multi-Feature Fusion for underwater diver classification

Author

Yang Juan ; Xu Feng ; Wei Zhiheng ; An Xudong ; Liu Jia ; Ji Yongqiang ; Wen Tao

Author_Institution

Image Sonar Technol. Lab., Inst. of Acoust., Beijing, China

fYear

2013

fDate

24-26 July 2013

Firstpage

1

Lastpage

4

Abstract

This paper discusses a technique for the classification of divers, underwater vehicles and other similar targets based on adaptive multi-feature fusion. This technique mainly uses target features, e.g., image feature, moment feature and HRRP (high resolution range profile) features selected by an Adaptive Feature Fusion method. The sea trial data collected in Sanya in January, 2009 are processed by the algorithm. Real data processing results demonstrate the Adaptive Multi-Feature Fusion based technique can effectively reduce the error probability.

Keywords

error statistics; feature extraction; image classification; image fusion; HRRP feature; Sanya; adaptive feature fusion method; adaptive multifeature fusion; adaptive multifeature fusion-based technique; error probability reduction; high-resolution range profile feature; image feature; moment feature; real data processing; sea trial data; target features; underwater diver classification; underwater vehicles; Adaptation models; Classification algorithms; Feature extraction; Sonar detection; Sonar equipment; Underwater vehicles; adaptive feature selection; diver; high resolution range profile; multi-feature fusion; underwater target classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics in Underwater Geosciences Symposium (RIO Acoustics), 2013 IEEE/OES

Conference_Location

Rio de Janeiro

Type

conf

DOI

10.1109/RIOAcoustics.2013.6684022

Filename

6684022