TY - GEN
T1 - A Deep Learning Based Denoising Approach for Synthetic Aperture Sonar Imaging
AU - Lu, Xicheng
AU - Sun, Guanxi
AU - Liu, Wei
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/11
Y1 - 2024/11
N2 - Synthetic Aperture Sonar (SAS) is one of the techniques used for underwater imaging, and in this paper, we use the range Doppler algorithm for SAS imaging and consider the position errors of sonar platforms in practical scenarios. These errors can seriously degrade the imaging result; however, correcting them and performing compensation with high-precision equipment could be very costly. In this paper, a deep learning approach is proposed using artificial neural networks for image denoising, specifically targeting noise induced by motion uncertainties. As demonstrated by computer simulations, it can recover the images with better quality without employing complex algorithms and hardware compensation.
AB - Synthetic Aperture Sonar (SAS) is one of the techniques used for underwater imaging, and in this paper, we use the range Doppler algorithm for SAS imaging and consider the position errors of sonar platforms in practical scenarios. These errors can seriously degrade the imaging result; however, correcting them and performing compensation with high-precision equipment could be very costly. In this paper, a deep learning approach is proposed using artificial neural networks for image denoising, specifically targeting noise induced by motion uncertainties. As demonstrated by computer simulations, it can recover the images with better quality without employing complex algorithms and hardware compensation.
KW - artificial neural networks
KW - deep learning
KW - image denoising
KW - SAS
UR - http://www.scopus.com/inward/record.url?scp=86000017432&partnerID=8YFLogxK
U2 - 10.1109/ICSIDP62679.2024.10869118
DO - 10.1109/ICSIDP62679.2024.10869118
M3 - Conference article published in proceeding or book
AN - SCOPUS:86000017432
T3 - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
BT - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Y2 - 22 November 2024 through 24 November 2024
ER -