Size-dependent image resampling for mutual information based remote sensing image registration

Hua Mei Chen, Pramod K. Varshney

Research output: Contribution to conferencePaper

3 Scopus citations

Abstract

Registration consistency has been used as a performance evaluation criterion for mutual information based image registration techniques when the ground truth is not known. In practice, when the spatial resolutions of the two images to be registered are different, the low resolution image is often chosen as the floating image to expedite the registration process because it involves fewer pixels. However, we have found that this choice introduces problems when the difference in spatial resolution is large. This is because the resulting mutual information registration function calculated through linear interpolation or partial volume interpolation can be extremely rough that makes the optimization hard to perform and the registration result unreliable. The main contribution of this paper is the development of a size-dependent kernel to resample the high resolution reference image for joint histogram estimation. Since the size of the support of the kernel can be very large, the computational load of this approach is high and loses the advantage of using the low resolution image as the floating image. As an alternate approach, an offline preprocessing of the high resolution image is proposed in this paper. After preprocessing the high resolution reference image, conventional linear and partial volume interpolations can be employed to estimate the joint histogram efficiently. A HyMap image (6.8m/pixel) and a digital aerial photograph (0.15m/pixel) are used in our experiments to demonstrate the effectiveness of the proposed approach.

Original languageEnglish (US)
Pages2405-2408
Number of pages4
StatePublished - Dec 1 2004
Event2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 - Anchorage, AK, United States
Duration: Sep 20 2004Sep 24 2004

Other

Other2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004
CountryUnited States
CityAnchorage, AK
Period9/20/049/24/04

Keywords

  • Image registration
  • Image resampling
  • Mutual information
  • Registration consistency
  • Size-dependent kernel

ASJC Scopus subject areas

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

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    Chen, H. M., & Varshney, P. K. (2004). Size-dependent image resampling for mutual information based remote sensing image registration. 2405-2408. Paper presented at 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004, Anchorage, AK, United States.