GEOBIA 2016: Solutions and Synergies 2016
DOI: 10.3990/2.378
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Value of feature reduction for crop differentiation using multi-temporal imagery, machine learning, and object-based image analysis

Abstract: This study examined the value of automated and manual feature selection, when applied to machine learning and object-based image analysis (OBIA), for the differentiation of crops in a Mediterranean climate. Five Landsat8 images covering the phenological stages of seven major crops types in the study area (Cape Winelands, South Africa) were acquired and processed. A statistical image fusion technique was used to enhance the spatial resolution of the imagery. The pan-sharpened imagery was used to produce a range… Show more

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