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A Bayesian Nonparametric Model Coupled with a Markov Random Field for Change Detection in Heterogeneous Remote Sensing Images

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Academic year: 2021

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Figure 2. Label histograms for z n generated by the proposed algorithm for three different pixels.
Figure 3. Directed acyclic graph highlighting the relationship between the different variables (variables inside circles are fixed, whereas those in squares are estimated by the proposed approach).
Figure 4. Cumulative distribution p(∆ n < τ |H 0 ) for three different pixels. Figures 4(a) and 4(b) were obtained from pixels in unchanged areas, while Figure 4(c) was obtained from a pixel in a changed area.
Figure 6. Results obtained by applying the proposed method with a dataset consisting of two synthetic heterogeneous optical and SAR images.
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