Machine learning of satellite imagery to locate gravel deposits

利用卫星图像的机器学习来定位砾石矿床

• 批准号: 556391-2020
• 负责人: Blum, Susan
• 金额: $ 1.82万
• 依托单位: Saskatchewan Polytechnic
• 依托单位国家: 加拿大
• 项目类别: Applied Research and Development Grants - Level 1
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=706318
• 关键词: Machine; learning; satellite; imagery; locate

Saskatchewan Polytechnic (SP) and Peter Lucas Project Management Inc. will collaborate on the development of a niche system to locate gravel. The goal is to identify the probability of a viable gravel source based on an input quarter section. As gravel is a non-renewable resource, the identification of sources of gravel and the corresponding management of it is important to many different industries. The project will examine the use of machine learning (and/or neural networks) algorithms to determine on a topographical map the probability of a location containing gravel. This resulting technology can help find more sources, will increase supply, save costs, and reduce greenhouse gases due to hauling among other benefits.

萨斯喀彻温省理工学院（SP）和彼得·卢卡斯项目管理公司将合作开发