Land-Use Classification using Finite Element Machines
作者： D.R. Pereira , J.P. Papa , L.P. Papa , R.J. Pisani
DOI: 10.1109/IGARSS.2018.8519252
关键词:
摘要: Satellite images have been used in a number of applications, both the academy and industry. One critical purpose concerns land-use classification, which aims at automatically identifying different range from economy environmental monitoring to resources planning. In this paper, we introduce new machine learning technique called Finite Element Machines (FEMa) context classification using satellite images. We show that FEMa can obtain results are comparable some state-of-the-art techniques literature.
sci-hub.se 参考文章(9)
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