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Airborne SAR and optical image fusion based on IHS transform and joint non-negative sparse representation

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

Abstract

In this paper, a novel airborne synthetic aperture radar (SAR) and optical image fusion method based on Intensity-Hue-Saturation (IHS) and joint non-negative sparse representation (JNNSR) is proposed. Firstly, the color optical image is transformed into IHS space. Then, the intensity component of the optical image and the SAR image are decomposed by JNNSR into common component and innovation components. Based on the non-negative property of the sparse coefficients, the innovation component of the SAR image is fused with the intensity component of the optical image. Finally, the fused result is obtained by performing inverse IHS transform. The experimental result shows that our method is superior to the traditional methods in terms of several universal quality evaluation indexes, as well as in the visual quality.

Original languageEnglish
Title of host publication2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7196-7199
Number of pages4
ISBN (Electronic)9781509033324
DOIs
StatePublished - 1 Nov 2016
Event36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Beijing, China
Duration: 10 Jul 201615 Jul 2016

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2016-November

Conference

Conference36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
Country/TerritoryChina
CityBeijing
Period10/07/1615/07/16

Keywords

  • Airborne SAR image
  • Airborne optical image
  • IHS
  • Image fusion
  • Joint sparse representation

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