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Extracting digital elevation models from SAR data through independent component analysis

机译:通过独立分量分析从SAR数据中提取数字高程模型

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摘要

This article illustrates findings about a new method for the extraction of digital elevation model (DEM) from interferograms of synthetic aperture radar (SAR) data, based on independent component analysis (ICA). This method is named InSAR-ICA, and its advantages are related to its capability in estimating topographical altitudes without taking into account any or sparse non-SAR data (e.g. ground-based or atmospheric parameters). This is especially useful in cases of mountainous regions, where large altitude changes over short distances and the presence of microclimates generally limit the possibility of DEM estimates by few SAR interferograms only. A comparison between the standard SRTM (Shuttle Radar Topographical Mission) elevations and those extracted by InSAR-ICA is carried out for the region of South Italy, Apennine Mountains. Results are interpreted in terms of the reliability of InSAR-ICA DEM estimates.
机译:本文说明了有关基于独立分量分析(ICA)从合成孔径雷达(SAR)数据的干涉图中提取数字高程模型(DEM)的新方法的发现。此方法称为InSAR-ICA,其优点与估计地形高度的能力有关,而无需考虑任何或稀疏的非SAR数据(例如,基于地面或大气的参数)。这在山区的情况下尤其有用,在山区,短距离内高度会发生很大变化,并且微气候的存在通常仅通过很少的SAR干涉图限制了DEM估计的可能性。对意大利南部亚平宁山脉地区的标准SRTM(航天飞机雷达地形任务)标高与InSAR-ICA提取的标高进行了比较。根据InSAR-ICA DEM估计的可靠性来解释结果。

著录项

  • 来源
    《International journal of remote sensing》 |2011年第14期|p.3807-3817|共11页
  • 作者

    PAOLA BALLATORE;

  • 作者单位

    Mediterranean Agency for Remote Sensing and Environmental Control,Via Perlingieri 1, Benevento 82100, Italy;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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