Fusion of microwave and infrared data for enhancing its spatial resolution

Igor Yanovsky, Ali Behrangi, Mathias Schreier, Van Dang, Berry Wen, Bjorn Lambrigtsen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The images acquired by microwave sensors are blurry and of low-resolution. On the other hand, the images obtained using infrared/visible sensors are of sufficiently high-resolution. In this paper, we develop a data fusion methodology and apply it to enhance resolution of a microwave image using the data from a collocated infrared/visible sensor. Such an approach takes advantage of the spatial resolution of the infrared instrument and the sensing accuracy of the microwave instrument. We tested our method using precipitation scenes captured with the Advanced Microwave Sounding Unit (AMSU) microwave instrument and the Advanced Very High Resolution Radiometer (AVHRR).

Original languageEnglish (US)
Title of host publication2017 IEEE International Geoscience and Remote Sensing Symposium
Subtitle of host publicationInternational Cooperation for Global Awareness, IGARSS 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2625-2628
Number of pages4
ISBN (Electronic)9781509049516
DOIs
StatePublished - Dec 1 2017
Externally publishedYes
Event37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth, United States
Duration: Jul 23 2017Jul 28 2017

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2017-July

Other

Other37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Country/TerritoryUnited States
CityFort Worth
Period7/23/177/28/17

Keywords

  • Data fusion
  • inverse problems
  • microwave imaging
  • remote sensing
  • sparse optimization
  • spatial resolution
  • super-resolution

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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