USE OF SIMPLE LINEAR REGRESSION IN ANALYSIS OF SPECTRAL MIXING

Authors

  • Osmar Abílio de Carvalho Júnior UnB – Universidade de Brasília – Departamento de Geografia
  • Renato Fontes Guimarães UnB – Universidade de Brasília – Departamento de Geografia
  • Ana Paula Ferreira de Carvalho UnB – Universidade de Brasília – Departamento de Ecologia
  • Roberto Arnaldo Trancoso Gomes UnB – Universidade de Brasília – Departamento de Geografia
  • Éder de Souza Martins EMBRAPA Cerrados
  • Mário Diniz de Araújo Neto UnB – Universidade de Brasília – Departamento de Geografia

DOI:

https://doi.org/10.26512/2236-56562004e39750

Keywords:

image processing, spectral mixture, linear regression

Abstract

The relative abundance of a material can be determined establishing a proportionality relationship between a characteristic of the spectrum form and its quantity. In the case of hyperspectral images analysis the studies are focused on the features of diagnostic absorption of the elements. The procedures compare a feature spectral of reference with one of the image. The present work aims to evaluate the use of the linear regression simple in the spectral analysis. The linear regression can be elaborated of two forms considering the independent term as the reference spectrum or the image spectrum. The two functions present distinct behaviors in the abundance estimate. The distance relation between the two angular coefficients enables to verify the consistency of the information.

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Published

2022-01-21

How to Cite

Abílio de Carvalho Júnior, O. ., Fontes Guimarães, R. ., Ferreira de Carvalho, A. P. ., Trancoso Gomes, R. A. ., de Souza Martins, Éder ., & Diniz de Araújo Neto, M. . (2022). USE OF SIMPLE LINEAR REGRESSION IN ANALYSIS OF SPECTRAL MIXING . Space and Geography Journal, 7(1), 133–161. https://doi.org/10.26512/2236-56562004e39750

Issue

Vol. 7 No. 1 (2004)

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Paper

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