Mutual information as a similarity measure for remote sensing image registration

Kisha Johnson; Arlene Cole-Rhodes; Ilya Zavorin; Jacqueline Le Moigne

doi:10.1117/12.428251

1 June 2001 Mutual information as a similarity measure for remote sensing image registration

Kisha Johnson, Arlene Cole-Rhodes, Ilya Zavorin, Jacqueline Le Moigne

Proceedings Volume 4383, Geo-Spatial Image and Data Exploitation II; (2001) https://doi.org/10.1117/12.428251
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

Feature-based matching is essential for attaining sub-pixel registration of remotely sensed imagery. In this work, we focus on two different similarity metrics which are used to match extracted features, correlation and mutual information. Although mutual information has been successfully applied to medical image registration, these metrics have not been systematically studied for remote sensing applications. This paper presents some first results in the comparison of correlation and mutual information, relative to their respective accuracy and response to noise. The study is performed using Landsat-TM data.

Citation Download Citation

Kisha Johnson, Arlene Cole-Rhodes, Ilya Zavorin, and Jacqueline Le Moigne "Mutual information as a similarity measure for remote sensing image registration", Proc. SPIE 4383, Geo-Spatial Image and Data Exploitation II, (1 June 2001); https://doi.org/10.1117/12.428251

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