Object-Oriented Semisupervised Classification of VHR Images by Combining MedLDA and a Bilateral Filter

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/mpe/volume-2015/182439/figures/182439.fig.004a.svgz" name="182439.fig.004a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Remote sensing image</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/mpe/volume-2015/182439/figures/182439.fig.004b.svgz" name="182439.fig.004b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Ground truth</td></tr></table>

<div>The initial VHR image and its ground truth.</div>

Mathematical Problems in Engineering

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Figure 4

Figure 4: Object-Oriented Semisupervised Classification of VHR Images by Combining MedLDA and a Bilateral Filter 