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首页> 外文期刊>International journal of remote sensing >A technique based on non-linear transform and multivariate analysis to merge thermal infrared data and higher-resolution multispectral data
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A technique based on non-linear transform and multivariate analysis to merge thermal infrared data and higher-resolution multispectral data

机译：基于非线性变换和多元分析的热红外数据与高分辨率多光谱数据合并技术

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摘要

A thermal infrared (TIR) image is a measure of the Earth's surface temperature and TIR emittance; however, its low spatial resolution severely limits its potential applications. Image fusion techniques can be used to fuse a TIR image with higher spatial resolution reflective bands to generate a synthetic TIR image. Because of the weak correlation between TIR and reflective data, such a synthetic image typically contains significant spectral distortion. In this paper, a multivariate analysis technique is used to derive a variable as a linear function of multiple reflective bands and their non-linearly transformed versions, to produce the maximum correlation with the TIR image. The spatial details of the variable are then injected into the TIR image to yield a synthetic image with reduced spectral distortion. In an experiment on Landsat Thematic Mapper (TM) TIR and reflective data, the fusion method proposed in this paper outperforms several existing methods in preserving the spectral characteristics of TIR data.
机译：热红外（TIR）图像是对地球表面温度和TIR发射率的度量；但是，其较低的空间分辨率严重限制了其潜在的应用。图像融合技术可用于融合具有较高空间分辨率反射带的TIR图像，以生成合成TIR图像。由于TIR与反射数据之间的相关性较弱，因此此类合成图像通常包含明显的光谱失真。在本文中，使用多变量分析技术来导出变量作为多个反射带及其非线性变换版本的线性函数，以产生与TIR图像的最大相关性。然后将变量的空间细节注入TIR图像中，以产生频谱失真降低的合成图像。在Landsat Thematic Mapper（TM）TIR和反射数据的实验中，本文提出的融合方法在保留TIR数据的光谱特征方面优于现有的几种方法。

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  • 来源
    《International journal of remote sensing》 |2010年第24期|p.6459-6471|共13页
  • 作者

    LINHAI JING; QIUMING CHENG;

  • 作者单位

    Department of Earth and Space Science and Engineering, York University, Toronto, Ontario, Canada M3J 1P3;

    Department of Earth and Space Science and Engineering, York University, Toronto, Ontario, Canada M3J 1P3,State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan, China;

  • 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
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