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

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...

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Autore principale: Canovas Garcia, F. (author)
Altri autori: Alonso, F. (author)
Natura: article
Pubblicazione: 2017
Soggetti:
Classification
Feature selection
Hughes effect
Object-based image analysis
Photogrammetric camera
Random forest
Accesso online:http://dspace.utpl.edu.ec/handle/123456789/18995
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