Using wavelet analysis to classify and segment sonar signals scattered from underwater sea beds-Reference-Cited by-同舟云学术

Using wavelet analysis to classify and segment sonar signals scattered from underwater sea beds

Published:2003-01 Issue:21 Volume:24 Page:4113-4128
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Atallah L.¹,Probert Smith P. J.¹

Affiliation:

1. a Department of Engineering Science , University of Oxford , Parks Road, Oxford OX1 3PJ , UK E-mail:

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/0143116021000035012

Reference25 articles.

1. Bates C Whitehead E 2001 Echo plus measurements in Hopvagen bay, Norway.The Oceanography Society, Biennial Scientific Meeting, Miami, FL, April 2001

2. Sidescan sonar: a directional filter of seabed texture?

3. Bishop C. M 1995Neural Networks for Pattern Recognition(Oxford: Oxford University Press)

4. Blondel P Sempere J Robigou V 1993 Textural analysis and structure tracking for geological mapping: applications to sonar images from endeavor segment, Juan De Fuca Ridge.Proceedings of Oceans’93 IEEE-OES, Vancouver, October 1993 pp. 209–213

5. Classification of underwater signals using wavelet transforms and neural networks

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-Scale Marine Object Detection in Side-Scan Sonar Images Based on BES-YOLO;Sensors;2024-07-09

2. Cost-effective Framework for Rapid Underwater Mapping with Digital Camera and Color Correction Method;KSCE Journal of Civil Engineering;2019-02-26

3. Feature Extraction in Fractional Fourier Domain for Classification of Passive Sonar Signals;Journal of Signal Processing Systems;2018-03-03

4. Adaptive sonar beamformer based on inverse QR decomposition and recursive least squares filter for underwater target detection;International Journal of Remote Sensing;2011-12-20

5. Neural network classification of multibeam backscatter and bathymetry data from Stanton Bank (Area IV);Applied Acoustics;2009-10