Abstract: A Comparative Object-Based Sugarcane Classification from Sentinel-2 Data Using Random Forests and Support Vector Machines (2016 AGU Fall Meeting)

A Comparative Object-Based Sugarcane Classification from Sentinel-2 Data Using Random Forests and Support Vector Machines

Cheng-Ru Chen¹, Chi-Farn Chen¹, Son Thanh Nguyen², Khin Lau³ and Jinn-Guey Lay⁴, (1)National Central University, Center for Space and Remote Sensing Research, Taoyuan, Taiwan, (2)National Central University, Center for Space and Remote Sensing Research, Kanagawa, Japan, (3)National Central University, Department of Geography, Taoyuan, Taiwan, (4)NTU National Taiwan University, Department of Geography, Taipei, Taiwan

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