A feature selection approach for hyperspectral image based on modified ant lion optimizer

作者：

Highlights：

• A novel feature selection approach for HSI based on MALO algorithm is proposed.

• A novel MALO algorithm based on the standard ALO algorithm and Lévy flight is proposed.

• Harmonic wavelet kernel is utilized to construct WSVM classifier for classification.

• A new evaluation criterion is formulated to estimate the performance of feature selection.

摘要

•A novel feature selection approach for HSI based on MALO algorithm is proposed.•A novel MALO algorithm based on the standard ALO algorithm and Lévy flight is proposed.•Harmonic wavelet kernel is utilized to construct WSVM classifier for classification.•A new evaluation criterion is formulated to estimate the performance of feature selection.

论文关键词：Hyperspectral image,Feature selection,Wavelet support vector machine,Ant lion optimizer,Lévy flight

论文评审过程：Received 14 August 2018, Revised 17 December 2018, Accepted 27 December 2018, Available online 4 January 2019, Version of Record 15 February 2019.

论文官网地址：https://doi.org/10.1016/j.knosys.2018.12.031