sentinel-2a图像在陵水-三亚海岸浅水深度反演中的应用

Ma Boxuan, Y. ChangBao, Zhu Mengyao, Lin Xingzhe
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引用次数: 1

摘要

传统的测深技术灵活性差,测深数据更新周期长,及时性差。利用遥感技术进行水深反演,在一定程度上弥补了传统海洋测量的不足。基于现场实测水深资料和Sentinel-2A多光谱影像,对陵水-三亚海岸的水深反演进行了研究。通过对sentinel-2A图像与实测数据的相关性分析,选取相关性较高的蓝、绿、红波长构建比值模型、对数模型和比值对数模型,并对这三种模型进行精度验证。结果表明,比值模型相关系数最高,精度较高,但比值对数模型在3米以上水深反演中拟合效果较好。本研究根据实验区水深情况,选择比值模型进行水深反演,取得了较好的反演效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of sentinel-2a image in shallow water depth inversion of Lingshui Sanya coast
The flexibility of traditional bathymetric measurement technology is poor, and the update cycle of bathymetric data is long and the timeliness is poor. Remote sensing technology is used to carry out bathymetric inversion to make up for the deficiency of traditional oceanographic measurement to some extent. Based on the in-situ measured water depth data and Sentinel-2A multispectral image, the water depth inversion of Lingshui-Sanya coast is studied. Through correlation analysis of sentinel-2A images and measured data, ratio model, logarithm model and ratio logarithm model were constructed by selecting blue, green and red wavelengths with high correlation, and accuracy verification was carried out for these three models. The results show that the ratio model has the highest correlation coefficient with high accuracy, but the ratio logarithm model has a better fitting effect in the inversion of water depth over three meters. In this study, the ratio model is selected to perform water depth inversion based on the water depth situation in the experimental area, and good inversion results are obtained.
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