Hyperspectral and multispectral image fusion with dual-source spatial-spectral dictionary

Jin Tian, Yifan Zhang, Yang Lu, Shaohui Mei

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

Abstract

This paper presents a new dictionary-based method to fuse hyperspectral image (HSI) and multispectral image (MSI) of the same observed scene. To incorporate spatial as well as spectral information and features from both source HSI and MSI, dual-source spatial-spectral dictionary pair is constructed. Furthermore, collaborative representation based image representation and reconstruction is employed for its outstanding representation performance and efficiency. Simulative experiments illustrate that the newly proposed fusion method is capable of producing better or comparable fusion result when compared to some state-of-the-art dictionary-based HSI and MSI fusion methods, with much less computational cost.

Original languageEnglish
Title of host publication2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7034-7037
Number of pages4
ISBN (Electronic)9781538671504
DOIs
StatePublished - 31 Oct 2018
Event38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain
Duration: 22 Jul 201827 Jul 2018

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2018-July

Conference

Conference38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Country/TerritorySpain
CityValencia
Period22/07/1827/07/18

Keywords

  • Collaborative representation
  • Dictionary
  • Hyperspectral
  • Image fusion
  • Multispectral

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