Optimum Feature and Classifier Selection for Accurate Urban Land Use/Cover Mapping from Very High Resolution Satellite Imagery

Optimum Feature and Classifier Selection for Accurate Urban Land Use/Cover Mapping from Very High Resolution Satellite Imagery

Feature selection to reduce redundancies for efficient classification is necessary but usually time consuming and challenging. This paper proposed a comprehensive analysis for optimum feature selection and the most efficient classifier for accurate urban area mapping. To this end, 136 multiscale tex...

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Bibliographic Details
Main Authors: Mojtaba Saboori, Saeid Homayouni, Reza Shah-Hosseini, Ying Zhang
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Remote Sensing
Subjects:
optimization
very high resolution satellite imagery
filter-based and wrapper-based feature selection
multiscale texture
urban land use/cover classification
Online Access:https://www.mdpi.com/2072-4292/14/9/2097

Internet

https://www.mdpi.com/2072-4292/14/9/2097

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