Multi-image Super-Resolution Algorithm Supported on Sentinel-2 Satellite Images Geolocation Error

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

Abstract

Every year, the hottest seasons are marked by forest fires. Monitoring these forest areas is more effective with the help of satellite imagery, since ground operations are hampered by vegetation density and height, making them less productive and more expensive. However, nowadays, freely available imagery from Sentinel-2 satellite has a maximum spatial resolution of 10 meters per pixel, a low resolution to identify small or thin structures in the image, such as roads, bridges, buildings, rivers, fuel breaks, among others. To improve image’s resolution, a new super-resolution algorithm, named KGEONP – K Geographically Nearest Pixels, is proposed in this paper. It benefits from Sentinel-2 regular observations (it has a revisit of 5 days) and the georeferencing error of its images (whose maximum value is 1.5 pixels). KGEONP seeks to add as much information as possible to the super-resolved image, by using data from K-nearest pixels and their spatial distance for computing each new pixel’s value. KGEONP was applied to Sentinel-2 images to increase resolution by a factor of 10 and was compared to state-of-the-art super-resolution techniques. It showed quite satisfactory results, with the capacity of increasing resolution and maintaining the structural data of the source images.

Original languageEnglish
Title of host publicationProceedings - 2021 International Young Engineers Forum in Electrical and Computer Engineering, YEF-ECE 2021
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages50-57
Number of pages8
ISBN (Electronic)978-1-6654-1264-3
ISBN (Print)978-1-6654-2937-5
DOIs
Publication statusPublished - 2021
Event5th International Young Engineers Forum in Electrical and Computer Engineering, YEF-ECE 2021 - Caparica and Online, Portugal
Duration: 9 Jul 20219 Jul 2021

Conference

Conference5th International Young Engineers Forum in Electrical and Computer Engineering, YEF-ECE 2021
Country/TerritoryPortugal
CityCaparica and Online
Period9/07/219/07/21

Keywords

  • Earth Observation
  • Georeferencing Error
  • Satellite Imagery
  • Sentinel-2
  • Super-Resolution

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