Optimal combination of classification algorithms and feature ranking methods for object-based classification of submeter resolution Z/I-Imaging DMC imagery

Object-based image analysis allows several different features to be calculated for the resulting objects. However, a large number of features means longer computing times and might even result in a loss of classification accuracy. In this study, we use four feature ranking methods (maximum correlati...

• Huvudupphovsman: Canovas Garcia, F. (author)
• Övriga upphovsmän: Alonso, F. (author)
• Materialtyp: article
• Publicerad: 2017
• Ämnen: Classification; Feature selection; Hughes effect; Object-based image analysis; Photogrammetric camera; Random forest
• Länkar: http://dspace.utpl.edu.ec/handle/123456789/18995