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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Retrieval of Near-Shore Bathymetry From Multispectral Satellite Images Using Generalized Additive Models
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Retrieval of Near-Shore Bathymetry From Multispectral Satellite Images Using Generalized Additive Models

机译:采用广义添加剂模型从多光谱卫星图像中检索近岸浴约定

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摘要

Deriving shallow-water depth from multispectral satellite imageries appears very promising in near-shore bathy-metric mapping for its high efficiency and low costs. Lyzenga's linear band method, which currently is the most widely used algorithm in the field, performs a linear regression between some known water depths and image-derived input variables. In real-world situations, the linear assumption in Lyzenga's method cannot be exactly satisfied because of complex environmental factors, and its performance is, therefore, often limited. In this letter, we improve Lyzenga's method by introducing generalized additive models to describe the nonlinear relationship between water depths and image-derived regressors. The performance of the new method was evaluated by using Landsat-8 multispectral data over the coastal areas of Oahu Island, Hawaii. The experimental results of two independent validation regions show that the depth-retrieval accuracy of the proposed algorithm was about 20% better than that of Lyzenga's method, and the performance improvement was most pronounced in the depth interval of 5-10 m.
机译:来自多光谱卫星成像仪的浅水深度出现在近岸浴室映射中非常有前途,以实现其高效率和低成本。 Lyzenga的线性频带方法,目前是该字段中最广泛使用的算法,在一些已知的水深和图像导出的输入变量之间执行线性回归。在现实世界的情况下,由于复杂的环境因素,Lyzenga方法的线性假设不能完全满足,因此,其性能通常有限。在这封信中,我们通过引入广义添加剂模型来改善Lyzenga的方法来描述水深和图像衍生的回归器之间的非线性关系。通过在夏威夷沿海地区的沿海地区使用Landsat-8多光谱数据来评估新方法的性能。两个独立验证区域的实验结果表明,所提出的算法的深度检索精度比Lyzenga方法的深度更高约20%,并且性能改善在5-10米的深度间隔中最明显。

著录项

  • 来源
    《IEEE Geoscience and Remote Sensing Letters》 |2019年第6期|922-926|共5页
  • 作者单位

    Chinese Acad Sci Inst Geodesy & Geophys State Key Lab Geodesy & Earths Dynam Wuhan 430077 Hubei Peoples R China;

    Chinese Acad Sci Inst Geodesy & Geophys State Key Lab Geodesy & Earths Dynam Wuhan 430077 Hubei Peoples R China;

    Shenzhen Univ Shenzhen Key Lab Spatial Smart Sensing & Serv Shenzhen 518060 Peoples R China|Shenzhen Univ Natl Adm Surveying Mapping & Geoinformat Key Lab Geoenvironm Monitoring Coastal Zone Shenzhen 518060 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Bathymetry; Landsat; multispectral remote sensing; nonparametric regression; water depth;

    机译:沐浴浴;Landsat;多光谱遥感;非参数回归;水深;

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