An Image Segmentation Algorithm for Isolating Ocean Fronts of Interest

Yuting Yang, Cong Zhang, Cuixin Yang, Kin Man Lam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Ocean fronts are one of the main transportation means for material and energy in the ocean. The research on detecting ocean fronts has become a hot topic in the last few years. Although current research techniques can accurately detect ocean fronts from remote sensing images, the detection results encompass all ocean fronts present across the entire ocean region. Ocean fronts often exhibit complex and dynamic behavior, with multiple fronts overlapping and covering each other in space and time. As a result, it has become challenging to isolate and independently analyze specific ocean fronts of interest. To address this issue, this paper proposes an image segmentation algorithm to segment ocean fronts. This segmentation method contributes to the advancement of oceanographic studies and supports improved understanding of the intricate dynamics within marine ecosystems.

Original languageEnglish
Title of host publicationInternational Workshop on Advanced Imaging Technology, IWAIT 2024
EditorsMasayuki Nakajima, Phooi Yee Lau, Jae-Gon Kim, Hiroyuki Kubo, Chuan-Yu Chang, Qian Kemao
PublisherSPIE
ISBN (Electronic)9781510679924
DOIs
Publication statusPublished - Jan 2024
Event2024 International Workshop on Advanced Imaging Technology, IWAIT 2024 - Langkawi, Malaysia
Duration: 7 Jan 20248 Jan 2024

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13164
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2024 International Workshop on Advanced Imaging Technology, IWAIT 2024
Country/TerritoryMalaysia
CityLangkawi
Period7/01/248/01/24

Keywords

  • Image Segmentation
  • Ocean Front
  • Remote Sensing

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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