ETCH —A Top-down Optimization Method for Mariculture Infrastructure Extraction
编号:872 访问权限:仅限参会人 更新:2024-10-13 11:50:20 浏览:179次 张贴报告

报告开始:2025年01月14日 18:50(Asia/Shanghai)

报告时间:15min

所在会场:[S61] Session 61-Advancing Blue Food Futures Towards Ocean Conservation and Global Resilience [S61-P] Advancing Blue Food Futures Towards Ocean Conservation and Global Resilience

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摘要
  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.
 
关键词
Remote sensing (RS),Aquaculture
报告人
Jihao Peng
Master's Student Shanghai Jiao Tong University

稿件作者
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
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重要日期
  • 会议日期

    01月13日

    2025

    01月17日

    2025

  • 09月27日 2024

    初稿截稿日期

  • 01月17日 2025

    注册截止日期

主办单位
State Key Laboratory of Marine Environmental Science, Xiamen University
承办单位
State Key Laboratory of Marine Environmental Science, Xiamen University
Department of Earth Sciences, National Natural Science Foundation of China
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