Data Fusion for Electromagnetic and Electrical Resistive Tomography Based on Maximum Likelihood

Figure 2

Reconstruction of 𝛿𝜖_r and 𝛿𝜎 in a straightforward data fusion without statistically based weighting (the weighting is assumed to be uniform with 𝑅⁽²⁾/𝑅⁽¹⁾=1). The upper and lower rows are obtained by using 𝑁_eig=15 and 𝑁_eig=30 eigenvalues, respectively.

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