Feature-based image registration of ALOS PALSAR and AVNIR-2 images

Tee-Ann Teo*, Shin Yu Chen

*Corresponding author for this work

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

1 Scopus citations

Abstract

The integration of optical and radar sensors in a common area is an important task in data fusion as well as other applications. The objective of this study is to perform the feature-based registration of ALOS PALSAR and AVNIR-2 images. The proposed method iteratively minimizes the discrepancy between the feature edges in PALSAR and AVNIR-2 images. A coarse-to-fine strategy is also adopted by applying an image pyramid. The accuracy of feature-based matching has increased from low to high resolution. The test images are synchronous PALSAR and AVNIR-2 images in Japan. The experimental results indicate that one pixel accuracy can be achieved using feature-based matching.

Original languageEnglish
Title of host publication2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings
Pages566-569
Number of pages4
DOIs
StatePublished - 16 Nov 2011
Event2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Vancouver, BC, Canada
Duration: 24 Jul 201129 Jul 2011

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011
CountryCanada
CityVancouver, BC
Period24/07/1129/07/11

Keywords

  • ALOS
  • AVNIR-2
  • matching
  • PALSAR
  • registration

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