Improved bathymetry retrieval based on multispectral image segmentation

Liyong Zhang; Yanru Wang; Qi Zhang; Xin Wang; Kai Zhang

doi:10.1117/12.3019500

23 January 2024 Improved bathymetry retrieval based on multispectral image segmentation

Liyong Zhang, Yanru Wang, Qi Zhang, Xin Wang, Kai Zhang

Proceedings Volume 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023); 129781L (2024) https://doi.org/10.1117/12.3019500
Event: 2023 4th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2023), 2023, wuhan, China

Abstract

Bathymetric inversion using multispectral imagery is an effective way to obtain shallow bathymetric information in water but is with relatively low accuracy. This study focuses on the solid disturbance of shallow seafloor substrate variation and proposes an image-segmentation-based method to improve the shallow bathymetry retrieval accuracy. The image is partitioned into different subregions with homogenous substrate properties, and the bathymetric inversion model is constructed separately in each subregion, thus improving the retrieval accuracy. Experimental results of the Ganquan Island region show that the accuracy of the bathymetric inversion was enhanced by 58.1% after image segmentation using muti statistic features.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Liyong Zhang, Yanru Wang, Qi Zhang, Xin Wang, and Kai Zhang "Improved bathymetry retrieval based on multispectral image segmentation", Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 129781L (23 January 2024); https://doi.org/10.1117/12.3019500

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available