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Updated: Jun 22, 2026

Detection of Ligand-activated G Protein-coupled Receptor Internalization by Confocal Microscopy
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红潮检测方法基于改进的U-Net模型采用GOCI数据在东中国海作为一个例子

Yanling Han1, Tianhong Ding1, Pengxia Cui1

  • 1Key Laboratory of Fisheries Information, Shanghai Marine Intelligent Information and Navigation Remote Sensing Engineering Technology Research Center, Ministry of Agriculture, College of Information, Shanghai Ocean University, Shanghai 201306, China.

Sensors (Basel, Switzerland)
|November 25, 2023
PubMed
概括

本研究介绍了一种改进的U-Net模型,用于使用光学遥感数据准确检测红潮. 该方法增强了复杂边界的边缘检测,在海洋环境中实现了高精度.

关键词:
美国国家安全保险委员会ASPC.欧洲电子商务委员会 (ECA)这就是GOCI GOCI.这就是U-Net.复杂的边界是一个复杂的边界.红潮是一个红潮.

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