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...

Full description

Bibliographic Details
Main Authors: Fulgencio Cánovas-García, Francisco Alonso-Sarría
Format: Article
Language:English
Published: MDPI AG 2015-04-01
Series:Remote Sensing
Subjects:
random forest
feature selection
object-based image analysis
Hughes effect
photogrammetric camera
classification
Online Access:http://www.mdpi.com/2072-4292/7/4/4651

Internet

http://www.mdpi.com/2072-4292/7/4/4651

Similar Items