Next Article in Journal
In-Orbit Spectral Response Function Correction and Its Impact on Operational Calibration for the Long-Wave Split-Window Infrared Band (12.0 μm) of FY-2G Satellite
Previous Article in Journal
Evaluating the Differences in Modeling Biophysical Attributes between Deciduous Broadleaved and Evergreen Conifer Forests Using Low-Density Small-Footprint LiDAR Data
Article Menu
Issue 6 (June) cover image

Export Article

Open AccessArticle
Remote Sens. 2017, 9(6), 575;

A New Radiometric Correction Method for Side-Scan Sonar Images in Consideration of Seabed Sediment Variation

Institute of Marine Science and Technology, Wuhan University, Wuhan 430079, China
School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China
Author to whom correspondence should be addressed.
Academic Editors: Francesco Soldovieri and Xiaofeng Yang
Received: 12 April 2017 / Revised: 28 May 2017 / Accepted: 6 June 2017 / Published: 8 June 2017
(This article belongs to the Section Ocean Remote Sensing)
Full-Text   |   PDF [4920 KB, uploaded 11 June 2017]   |  


Affected by the residual of time varying gain, beam patterns, angular responses, and sonar altitude variations, radiometric distortion degrades the quality of side-scan sonar images and seriously affects the application of these images. However, existing methods cannot correct distortion effectively, especially in the presence of seabed sediment variation. This study proposes a new radiometric correction method for side-scan sonar images that considers seabed sediment variation. First, the different effects on backscatter strength (BS) are analyzed, and along-track distortion is removed by establishing a linear relationship between distortion and sonar altitude. Second, because the angle-related effects on BSs with the same incident angle are the same, a novel method of unsupervised sediment classification is proposed for side-scan sonar images. Finally, the angle–BS curves of different sediments are obtained, and angle-related radiometric distortion is corrected. Experiments prove the validity of the proposed method. View Full-Text
Keywords: side-scan sonar; radiometric distortion; angular related; seafloor classification side-scan sonar; radiometric distortion; angular related; seafloor classification

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Zhao, J.; Yan, J.; Zhang, H.; Meng, J. A New Radiometric Correction Method for Side-Scan Sonar Images in Consideration of Seabed Sediment Variation. Remote Sens. 2017, 9, 575.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top