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Updated: Jul 16, 2025

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
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Published on: April 18, 2025

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研究各种机器学习方法用于Sentinel-2衍生的浴度测量

Andrzej Chybicki1, Paweł Sosnowski1, Marek Kulawiak1

  • 1Department of Geoinformatics, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Gdansk, Poland.

PloS one
|September 15, 2023
PubMed
概括

机器学习算法,特别是回归树,提供了使用卫星图像来估计海底深度的精确和高效方法. 这种方法克服了沿海区域绘制传统现场测量的局限性.

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