Evaluation of panchromatic and multispectral fusion methods

Victor Tuesta-Monteza, Yelsin Pérez Vásquez, Heber I. Mejía-Cabrera, Manuel G. Forero

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


Earth observation satellites provide multispectral images that are characterized by good spectral quality but low spatial quality. They also provide panchromatic images that, on the contrary, are characterized by good spatial quality but low spectral quality. Therefore, it is important to merge both images to obtain a single one that contains complementary information and can be used in land resource studies, surface geology, water management, forests, urban development, agriculture, and others. For this reason, it is important to evaluate the techniques used for the fusion of multispectral and panchromatic images: EIHS, Brovey and Averaging. Therefore, in this work these three techniques are evaluated, using the quantitative indices: spectral ERGAS and spatial ERGAS. In this way, the quality of the resulting fused images can be measured. Natural images were used to make the evaluation. The results show, on the one hand, that the best spectral quality is obtained with the Averaging algorithm, followed by the Brovey and, thirdly, by the EIHS. On the other hand, the best spatial quality was obtained with the EIHS algorithm, followed by the Brovey and then by the Averaging algorithm. It was also found that by averaging the values obtained in both evaluations that the best quality of fusion is obtained with the Averaging algorithm, followed by the Brovey and finally by the EIHS.

Original languageEnglish
Title of host publicationApplications of Digital Image Processing XLIII
EditorsAndrew G. Tescher, Touradj Ebrahimi
ISBN (Electronic)9781510638266
StatePublished - 2020
Externally publishedYes
EventApplications of Digital Image Processing XLIII 2020 - Virtual, Online, United States
Duration: 24 Aug 20204 Sep 2020

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceApplications of Digital Image Processing XLIII 2020
Country/TerritoryUnited States
CityVirtual, Online

Bibliographical note

Publisher Copyright:
© 2020 SPIE.


  • Averaging
  • Brovey
  • EIHS
  • Image fusion
  • Multispectral images
  • Panchromatic images
  • Satellite images


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