Hyperspectral band selection based on multi-objective optimization with high information and low redundancy

Mingyang Zhang, Maoguo Gong, Yongqiang Chan

Abstract: Highlights•The band selection problem is modeled as a multi-objective optimization problem.•A multi-objective-optimization-based hyperspectral band selection framework is proposed.•A multi-objective optimization algorithm combined with the properties of hyperspectral band selection is designed.•The proposed method can explore optimal trade-offs between information preserving and redundancy removing.