A new pansharpening method with multi-scale structure perception

Yu Pan, Xu Li, Ang Gao, Lixin Li, Shaohui Mei, Shigang Yue

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

2 Scopus citations

Abstract

The remote sensing images provided by satellites usually contain complex earth objects with different scales. In the fusion of such images, most of the existing filtering-based pansharpening methods often suffer from spectral and/or spatial information distortions due to the inaccuracy of the detail extraction. Motivated by this, we propose an effective and straightforward multi-scale structure perception pansharpening method, which uses the structure-preserving filter with great structure-aware ability to progressively perceive the structures and accurately extract the details. The experiment is carried out on GeoEye-1 satellite images. Visual and objective analysis show that our method can produce high-quality pansharpened results and outperform some existing methods.

Original languageEnglish
Title of host publication2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages8046-8049
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

  • Multispectral
  • Panchromatic
  • Pansharpening
  • Structure-preserving filter

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