Feature Selection for Object-Based Classification of High-Resolution Remote Sensing Images Based on the Combination of a Genetic Algorithm and Tabu Search

In object-based image analysis of high-resolution images, the number of features can reach hundreds, so it is necessary to perform feature reduction prior to classification. In this paper, a feature selection method based on the combination of a genetic algorithm (GA) and tabu search (TS) is present...

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Detalles Bibliográficos
Autores principales: Shi, Lei, Wan, Youchuan, Gao, Xianjun, Wang, Mingwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5822898/
https://www.ncbi.nlm.nih.gov/pubmed/29581721
http://dx.doi.org/10.1155/2018/6595792

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5822898/
https://www.ncbi.nlm.nih.gov/pubmed/29581721
http://dx.doi.org/10.1155/2018/6595792

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