COMPARISON OF PIXEL-BASED CLASSIFICATION AND OBJECT-BASED CLASSIFICATION USING MANGO AREA ESTIMATION FROM SENTINEL-2 OPTICAL SATELLITE DATA

The data given is the final output product of two different classification methods used in this study, viz., maximum-likelihood classification and object-based classification for estimation of Mango plantation in specific Mango growing district of Tamil Nadu, India.

本次提供的数据为本研究中所使用的两种分类方法的最终输出产物，即用于估算印度泰米尔纳德邦特定芒果种植区内芒果种植情况的最大似然分类（maximum-likelihood classification）与面向对象分类（object-based classification）结果。