Improving Cloud/Snow Detection in Remote Sensing Image with Spatiotemporal Information Fusion

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Layers</td><td class="align_center">Layer setting</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Conv_0</td><td class="align_center">7 × 7 conv, stride = 1</td></tr><tr><td class="align_left">Pool_0</td><td class="align_center">3 × 3 max_pool, stride = 2</td></tr><tr><td class="align_left">Dense_block_1</td><td class="align_center">6 bottlenecks</td></tr><tr><td class="align_left">Transition_1</td><td class="align_center">1 × 1 conv, 2 × 2 avg_pool, stride = 2</td></tr><tr><td class="align_left">Dense_block_2</td><td class="align_center">12 bottlenecks</td></tr><tr><td class="align_left">Transition_2</td><td class="align_center">1 × 1 conv, 2 × 2 avg_pool, stride = 2</td></tr><tr><td class="align_left">Dense_block_3</td><td class="align_center">24 bottlenecks</td></tr><tr><td class="align_left">Transition_3</td><td class="align_center">1 × 1 conv, 2 × 2 avg_pool, stride = 2</td></tr><tr><td class="align_left">Dense_block_4</td><td class="align_center">16 bottlenecks</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The configuration of the dense-base feature extraction module.</div>

Security and Communication Networks

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Table 1: Improving Cloud/Snow Detection in Remote Sensing Image with Spatiotemporal Information Fusion 