Please use this identifier to cite or link to this item: https://doi.org/10.1109/IGARSS.2013.6723376
Title: Land cover classification of very high spatial resolution satelite imagery
Authors: Chang, C.W. 
Shi, C.H.
Liew, S.C. 
Kwoh, L.K. 
Keywords: land cover
object orientated
Issue Date: 2013
Source: Chang, C.W., Shi, C.H., Liew, S.C., Kwoh, L.K. (2013). Land cover classification of very high spatial resolution satelite imagery. International Geoscience and Remote Sensing Symposium (IGARSS) : 2685-2687. ScholarBank@NUS Repository. https://doi.org/10.1109/IGARSS.2013.6723376
Abstract: 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. © 2013 IEEE.
Source Title: International Geoscience and Remote Sensing Symposium (IGARSS)
URI: http://scholarbank.nus.edu.sg/handle/10635/116091
ISBN: 9781479911141
DOI: 10.1109/IGARSS.2013.6723376
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