Fusion of genetic-programming-based indices in hyperspectral image classification tasks

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Hernandez-Albarracin:2017:IGARSS,

• author = "Juan F. {Hernandez Albarracin} and Edemir {Ferreira, Jr.} and Jefersson A. {dos Santos} and Ricardo {da S. Torres}",
• booktitle = "2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)",
• title = "Fusion of genetic-programming-based indices in hyperspectral image classification tasks",
• year = "2017",
• pages = "554--557",
• abstract = "This paper introduces a two-step hyper- and multi-spectral image classification approach. The first step relies on the use of a genetic programming (GP) framework to both select and combine appropriate bands. The second step is concerned with the image classification itself. We present two strategies for multi-class classification problems based on the combination of GP-based indices defined in binary classification scenarios. Performed experiments involving well-known and widely-used datasets demonstrate that the proposed approach yields comparable or better effectiveness performance when compared to several traditional baselines.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/IGARSS.2017.8127013",
• month = jul,
• notes = "Also known as \cite{8127013}",

}

Genetic Programming entries for Juan Felipe Hernandez Albarracin Edemir Ferreira Jr Jefersson Alex dos Santos Ricardo da Silva Torres

Citations