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Abstract <p>Several methods for spectral matching of remote sensing data, including pixel-by-pixel linear method, pixel-by-pixel nonlinear method, and generalized nonlinear method, are proposed. The pixel-by-pixel nonlinear and generalized nonlinear methods are implemented using neural networks. Methods are compared using Landsat-8 and Sentinel-2 images. According to experimental results, the generalized nonlinear method for spectral matching of remote sensing images demonstrates the best matching quality.</p>

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Methods of Spectral Matching of Heterogenous Remote Sensing Images

  • 期刊论文

  • 发表日期：

    2025年8月1日

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  • A. N. Borisov,
  • V. V. Myasnikov,
  • V. V. Sergeev

摘要

Abstract

Several methods for spectral matching of remote sensing data, including pixel-by-pixel linear method, pixel-by-pixel nonlinear method, and generalized nonlinear method, are proposed. The pixel-by-pixel nonlinear and generalized nonlinear methods are implemented using neural networks. Methods are compared using Landsat-8 and Sentinel-2 images. According to experimental results, the generalized nonlinear method for spectral matching of remote sensing images demonstrates the best matching quality.