Image Registration Between Kompsat-3a Mid-Wave Infrared And Electric Optical Images Using Hybrid Pyramid Matching Method

Taeheon Kim, Yerin Yun, Changhui Lee, Youkyung Han

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

2 Scopus citations

Abstract

Korean multi-purpose satellite 3A (KOMPSAT-3A) can acquire electric optical (EO) and mid-wave infrared (MIR) images. Since MIR and EO images provide different information, they can be used together to effectively observe various phenomena on the Earth's surface. However, geometric misalignments exist between the EO and MIR images as the difference in the positions of each sensor when acquiring the images. In this study, we propose a hybrid pyramid matching (HPM) method to conduct the image registration between heterogeneous EO and MIR images with different spatial and spectral characteristics. The HPM method extracts reliable tie points (TPs) by iteratively adjusting the location of local templates in pyramid image pairs. Then, the image registration is conducted using transformation matrix estimated based on the TPs. The HPM method achieved superior accuracy and performance at three different sites.

Original languageEnglish
Title of host publicationIGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7431-7434
Number of pages4
ISBN (Electronic)9798350320107
DOIs
StatePublished - 2023
Event2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 - Pasadena, United States
Duration: 16 Jul 202321 Jul 2023

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2023-July

Conference

Conference2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
Country/TerritoryUnited States
CityPasadena
Period16/07/2321/07/23

Keywords

  • Hybrid pyramid matching (HPM) method Image registration
  • Korean multi-purpose satellite 3A
  • Mid-wave infrared image

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