Abstract
Land use mapping is becoming increasingly important in agriculture. Nowadays, satellite visualizations of farmland are available. On the other hand, the machine learning techniques have been advanced rapidly. This paper comprehensively investigates the use of the recently developed machine learning techniques to automatize land use mapping. Our comprehensive experiments are reported. The results of comparison experiments have demonstrated the performance of the algorithms on land use mapping.
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Liao, X., Huang, X., Huang, W. (2018). Visualization of Farm Land Use by Classifying Satellite Images. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2018. Lecture Notes in Computer Science(), vol 11151. Springer, Cham. https://doi.org/10.1007/978-3-030-00560-3_40
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DOI: https://doi.org/10.1007/978-3-030-00560-3_40
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