Land cover classification of very high spatial resolution satelite imagery

Classification of Very high-resolution optical sensors imagery into Land Cover/Land use map is an important and challenging task. The detailed visual information of land targets makes the classification task difficult and methods difficult to standardize. In this work, we use an objected orientated approach to classify worldview-2 images into Land Cover maps. The approach applies atmospheric correction to worldview-2 image, segmenting into various polygons and a rule-based decision table is applied to process the image into a land cover map.