Mathematics, Journal Year: 2023, Volume and Issue: 11(3), P. 517 - 517

Published: Jan. 18, 2023

Mine pollution from mining activities is often widely recognised as a serious threat to public health, with mine solid waste causing problems such tailings pond accumulation, which considered the biggest hidden danger. The construction of ponds not only causes land occupation and vegetation damage but also brings about potential environmental pollution, water dust posing health risk nearby residents. If remote sensing images machine learning techniques could be used determine whether might have safety hazards, mainly monitoring that may it would save lot effort in monitoring. Therefore, based on this background, paper proposes classify into two categories according they are potentially risky or generally safe satellite using DDN + ResNet-50 model ML.Net developed by Microsoft. In discussion section, introduces hazards concept “Healthy Mine” provide development directions for companies solutions crises. Finally, we claim serves guide begin conversation encourage experts, researchers scholars engage research field monitoring, assessment treatment.

Language: Английский