109 / 2024-09-08 19:25:57
ETCH —A Top-down Optimization Method for Mariculture Infrastructure Extraction
Remote sensing (RS),Aquaculture
摘要录用
Jihao Peng / Shanghai Jiao Tong University
Ling Cao / Xiamen University
Cong Zeng / Shanghai Jiao Tong University
Yue Liu / Shanghai Jiao Tong University
Ziyu Jiang / Shanghai Jiao Tong University
Huaqing Wu / Xiamen University
  The pressing need for accurate mapping of mariculture distribution has been long overdue, as the rapid expansion of mariculture and increasing conflicts over sea use demand science-based marine spatial planning, best facilitated through satellite imagery analysis. Previous research has primarily focused on specific regions with limited spatial coverage, leaving the broader applicability and verification of methods largely unexplored. Here, we propose a novel method, ETCH, designed to extract mariculture infrastructures from publicly accessible satellite images, such as Landsat 8. ETCH employs a top-down optimization approach, leveraging the unique features of various mariculture infrastructure types to refine extraction results from coarse to fine detail. Our method has demonstrated efficient performance in eight small-scale tests and has surpassed conventional OBIA extraction techniques in four case studies across different regions in China. ETCH offers a rapid and accurate solution for extracting mariculture infrastructure and could serve as a reference for similar remote sensing applications.


 


重要日期
  • 会议日期

    01月14日

    2025

    01月17日

    2025

  • 09月27日 2024

    初稿截稿日期

  • 12月14日 2024

    注册截止日期

主办单位
State Key Laboratory of Marine Environmental Science, Xiamen University
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