Calibrating nadir striped artifacts in a multibeam backscatter image using the equal mean-variance fitting model

Fanlin Yang; Chunxia Zhao; Kai Zhang; Chengkai Feng; Yue Ma

doi:10.1117/1.JRS.11.035020

28 September 2017 Calibrating nadir striped artifacts in a multibeam backscatter image using the equal mean-variance fitting model

Fanlin Yang, Chunxia Zhao, Kai Zhang, Chengkai Feng, Yue Ma

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 11, Issue 3, 035020 (September 2017). https://doi.org/10.1117/1.JRS.11.035020

Abstract

Acoustic seafloor classification with multibeam backscatter measurements is an attractive approach for mapping seafloor properties over a large area. However, artifacts in the multibeam backscatter measurements prevent accurate characterization of the seafloor. In particular, the backscatter level is extremely strong and highly variable in the near-nadir region due to the specular echo phenomenon. Consequently, striped artifacts emerge in the backscatter image, which can degrade the classification accuracy. This study focuses on the striped artifacts in multibeam backscatter images. To this end, a calibration algorithm based on equal mean-variance fitting is developed. By fitting the local shape of the angular response curve, the striped artifacts are compressed and moved according to the relations between the mean and variance in the near-nadir and off-nadir region. The algorithm utilized the measured data of near-nadir region and retained the basic shape of the response curve. The experimental results verify the high performance of the proposed method.

Citation Download Citation

Fanlin Yang, Chunxia Zhao, Kai Zhang, Chengkai Feng, and Yue Ma "Calibrating nadir striped artifacts in a multibeam backscatter image using the equal mean-variance fitting model," Journal of Applied Remote Sensing 11(3), 035020 (28 September 2017). https://doi.org/10.1117/1.JRS.11.035020

Received: 22 June 2017; Accepted: 11 September 2017; Published: 28 September 2017

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