Remote Sensing and AI to Automate Electronic Navigational Chart Updates

Matt McCarthy; Jacob Arndt

doi:10.2172/2584467

Remote Sensing and AI to Automate Electronic Navigational Chart Updates

Research output: Other contribution › Technical Report

Abstract

Electronic navigational charts (ENCs) are vital for navigation and must be updated frequently as coastal bathymetric conditions change, but the current manual survey approach is costly, time-consuming, and limited in scope by available survey resources.

Original language	English
Place of Publication	United States
DOIs	https://doi.org/10.2172/2584467
State	Published - 2025

Access to Document

10.2172/2584467

Cite this

@misc{50b5280ab83649f5a38e3e09008a3f6b,

title = "Remote Sensing and AI to Automate Electronic Navigational Chart Updates",

abstract = "Electronic navigational charts (ENCs) are vital for navigation and must be updated frequently as coastal bathymetric conditions change, but the current manual survey approach is costly, time-consuming, and limited in scope by available survey resources.",

author = "Matt McCarthy and Jacob Arndt",

year = "2025",

doi = "10.2172/2584467",

language = "English",

type = "Other",

}

TY - GEN

T1 - Remote Sensing and AI to Automate Electronic Navigational Chart Updates

AU - McCarthy, Matt

AU - Arndt, Jacob

PY - 2025

Y1 - 2025

N2 - Electronic navigational charts (ENCs) are vital for navigation and must be updated frequently as coastal bathymetric conditions change, but the current manual survey approach is costly, time-consuming, and limited in scope by available survey resources.

AB - Electronic navigational charts (ENCs) are vital for navigation and must be updated frequently as coastal bathymetric conditions change, but the current manual survey approach is costly, time-consuming, and limited in scope by available survey resources.

U2 - 10.2172/2584467

DO - 10.2172/2584467

M3 - Technical Report

CY - United States

ER -

Remote Sensing and AI to Automate Electronic Navigational Chart Updates

Abstract

Access to Document

Fingerprint

Cite this