Image Classification and Land Cover Mapping Using Sentinel-2 Imagery: Optimization of SVM Parameters

Image Classification and Land Cover Mapping Using Sentinel-2 Imagery: Optimization of SVM Parameters

Land use/cover (LU/LC) classification provides proxies of the natural and social processes related to urban development, providing stakeholders with crucial information. Remotely sensed images combined with supervised classification are common to define land use, but high-performance classifiers rem...

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Bibliographic Details
Main Authors: Saleh Yousefi, Somayeh Mirzaee, Hussein Almohamad, Ahmed Abdullah Al Dughairi, Christopher Gomez, Narges Siamian, Mona Alrasheedi, Hazem Ghassan Abdo
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Land
Subjects:
machine learning
support vector machine
penalty parameter
land cover mapping
Sentinel-2
Online Access:https://www.mdpi.com/2073-445X/11/7/993

Internet

https://www.mdpi.com/2073-445X/11/7/993

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