Single Remote Sensing Multispectral Image Dehazing Based on a Learning Framework

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/mpe/volume-2019/4131378/figures/4131378.fig.002a.svgz" name="4131378.fig.002a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Haze-free images</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/mpe/volume-2019/4131378/figures/4131378.fig.002b.svgz" name="4131378.fig.002b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Random depth map</td></tr><tr class="fig-image" id="c"><td><object data="https://static-preview.hindawi.com/articles/mpe/volume-2019/4131378/figures/4131378.fig.002c.svgz" name="4131378.fig.002c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Artificial hazy images</td></tr></table>

<div>The procedure of building training samples.</div>

Mathematical Problems in Engineering

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Figure 2

Figure 2: Single Remote Sensing Multispectral Image Dehazing Based on a Learning Framework 