Please use this identifier to cite or link to this item:
|Title:||Land cover classification of very high spatial resolution satelite imagery|
|Authors:||Chang, C.W. |
|Citation:||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)|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jun 8, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.