Analysis of Machine Learning Techniques for Sentinel-2A Satellite Images

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Data acquired</td><td class="align_center">Sentinel-2A satellite (2016)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Sensor</td><td class="align_center">Sentinel-2A</td></tr><tr><td class="align_left">Spatial resolution</td><td class="align_center">10 m</td></tr><tr><td class="align_left">The time of the season</td><td class="align_center">December</td></tr><tr><td class="align_left">Number of images</td><td class="align_center">12 images</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Downloaded images specification of this study.</div>

Journal of Electrical and Computer Engineering

tab4

Table 4

Table 4: Analysis of Machine Learning Techniques for Sentinel-2A Satellite Images 