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

M.L. Uss (1) , V.V. Lukin (1) , B. Vozel (2) , K. Chehdi (2)

1 Kharkov National University
2 IETR - Institut d'Électronique et des Technologies du numéRique

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.

Keywords: multichannel; multimodal registration; multipolarization images; optical image; radar image; similarity measure

Domains: Computer Science [cs]; Networking and Internet Architecture [cs.NI]; Engineering Sciences [physics]; Electronics

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⟩