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Performance analysis of similarity measures between multichannel optical and multipolarization radar images

Abstract : This paper investigates the problem of measuring similarity between multimodal Remote Sensing (RS) images using both area-based and feature-based structural similarity measures (SMs). For many RS platforms, optical image is multichannel and radar image is multipolarization. Thus, vector-to-vector SMs could be applied to optical-to-radar image pairs in contrast to scalar-to-scalar SMs considered in the literature. Using two real Landsat8 - SIR-C image pairs, we demonstrate that vector variants of state-of-the-art SMs outperform their scalar counterparts. This is especially evident for Normalized Correlation Coefficient (NCC), which in vector case performs as good as or better than advanced structural SMs. © 2017 IEEE.
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01687766
Contributor : Laurent Jonchère <>
Submitted on : Thursday, January 18, 2018 - 5:09:46 PM
Last modification on : Wednesday, October 14, 2020 - 3:53:13 AM

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M.L. Uss, V.V. Lukin, B. Vozel, K. Chehdi. Performance analysis of similarity measures between multichannel optical and multipolarization radar images. 5th IEEE Microwaves, Radar and Remote Sensing Symposium, MRRS 2017, Aug 2017, Kiev, Ukraine. ⟨10.1109/MRRS.2017.8075039⟩. ⟨hal-01687766⟩

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