On-borne automated detection of ocean internal waves in SAR images based on spatial features

Zhichao Xu; Jie Chen; Mengyue Zhang; Suqin Xu; Liming Yuan

doi:10.1117/12.3042467

11 September 2024 On-borne automated detection of ocean internal waves in SAR images based on spatial features

Zhichao Xu, Jie Chen, Mengyue Zhang, Suqin Xu, Liming Yuan

Proceedings Volume 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024); 132531G (2024) https://doi.org/10.1117/12.3042467
Event: 4th International Conference on Signal Image Processing and Communication, 2024, Xi'an, China

Abstract

This paper presents an innovative synthetic aperture radar (SAR) image-based on-borne detection method for internal ocean waves, which is designed to address the challenges of automation and real-time capabilities in existing algorithms. By preprocessing SAR images through geographic registration, land masking, filtering, and quality control, and extracts spatial features such as distribution, orientation, and scale to provide precise detection criteria for internal ocean waves. The proposed algorithm not only achieves high-precision detection but also significantly improves efficiency, overcoming the limitations of resource-constrained satellite platforms that hinder the implementation of complex machine learning models. The paper systematically introduces the algorithm, data processing procedure, experimental results, and conclusion, demonstrating the significant advantages of the proposed method in terms of detection accuracy and efficiency. This provides new technical means for the research of internal ocean waves.

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

Citation Download Citation

Zhichao Xu, Jie Chen, Mengyue Zhang, Suqin Xu, and Liming Yuan "On-borne automated detection of ocean internal waves in SAR images based on spatial features", Proc. SPIE 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024), 132531G (11 September 2024); https://doi.org/10.1117/12.3042467

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Synthetic aperture radar

Feature extraction

Tunable filters

Data processing

Detection and tracking algorithms

Image filtering

Satellites

Show All Keywords

Keywords/Phrases

Search In:

Publication Years