Time-optimal path for oceanic targeted observation based on multiple mobile platforms using the traveling salesman problem

Jingyi Liu; Wuhong Guo

doi:10.1117/12.3021073

19 January 2024 Time-optimal path for oceanic targeted observation based on multiple mobile platforms using the traveling salesman problem

Jingyi Liu, Wuhong Guo

Author Affiliations +

Proceedings Volume 12980, Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023); 129802J (2024) https://doi.org/10.1117/12.3021073
Event: Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023), 2023, Lianyungang, China

Abstract

Ocean observations are crucial for reducing the uncertainty in oceanic numerical predictions. However, ocean observations are too costly to cover the whole areas of interest. Therefore, it is necessary to optimize the observational design to achieve more efficient and cost-effective observations. In this paper, we propose a method to design the optimal ocean observation path. Specifically, the optimal observation area is identified by the Conditional Nonlinear Optimal Perturbation (CNOP) approach through the oceanic targeted observation. The time-optimal path is further determined by solving the related traveling salesman problem (TSP). We apply our method to a hindcast case experiment by Regional Ocean Modeling System (ROMS) to show the optimal path of ocean observation.

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

Citation Download Citation

Jingyi Liu and Wuhong Guo "Time-optimal path for oceanic targeted observation based on multiple mobile platforms using the traveling salesman problem", Proc. SPIE 12980, Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023), 129802J (19 January 2024); https://doi.org/10.1117/12.3021073

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