Remote sensing image enhancement via robust guided filtering

Nur Huseyin Kaplan, Isin Erer

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

4 Citations (Scopus)

Abstract

Remote sensing image enhancement methods have to preserve the original reflectance values as possible as they can, whereas emphasising the edges and increasing the contrast. In this study, a remote sensing image enhancement method based on robust guided filtering is proposed. We propose a multiscale decomposition with the robust guided filtering to obtain the approximation and detail layers of the image. Then the extracted details are amplified and added to the approximation layer to obtain the enhanced image. Both visual and quantitative comparisons show that the proposed method has a better preservation capability than the former methods, as well as a better contrast improvement along-with edge enhancement.

Original languageEnglish
Title of host publicationProceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019
EditorsS. Menekay, O. Cetin, O. Alparslan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages447-450
Number of pages4
ISBN (Electronic)9781538694480
DOIs
Publication statusPublished - Jun 2019
Event9th International Conference on Recent Advances in Space Technologies, RAST 2019 - Istanbul, Turkey
Duration: 11 Jun 201914 Jun 2019

Publication series

NameProceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019

Conference

Conference9th International Conference on Recent Advances in Space Technologies, RAST 2019
Country/TerritoryTurkey
CityIstanbul
Period11/06/1914/06/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • edge enhancement
  • image enhancement
  • remote sensing images
  • robust guided filtering

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