Optimized hyperspectral band selection using hybrid genetic algorithm and gravitational search algorithm

Aizhu Zhang; Genyun Sun; Zhenjie Wang

doi:10.1117/12.2209435

14 December 2015 Optimized hyperspectral band selection using hybrid genetic algorithm and gravitational search algorithm

Aizhu Zhang, Genyun Sun, Zhenjie Wang

Author Affiliations +

Proceedings Volume 9814, MIPPR 2015: Parallel Processing of Images and Optimization; and Medical Imaging Processing; 981403 (2015) https://doi.org/10.1117/12.2209435
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

The serious information redundancy in hyperspectral images (HIs) cannot contribute to the data analysis accuracy, instead it require expensive computational resources. Consequently, to identify the most useful and valuable information from the HIs, thereby improve the accuracy of data analysis, this paper proposed a novel hyperspectral band selection method using the hybrid genetic algorithm and gravitational search algorithm (GA-GSA). In the proposed method, the GA-GSA is mapped to the binary space at first. Then, the accuracy of the support vector machine (SVM) classifier and the number of selected spectral bands are utilized to measure the discriminative capability of the band subset. Finally, the band subset with the smallest number of spectral bands as well as covers the most useful and valuable information is obtained. To verify the effectiveness of the proposed method, studies conducted on an AVIRIS image against two recently proposed state-of-the-art GSA variants are presented. The experimental results revealed the superiority of the proposed method and indicated that the method can indeed considerably reduce data storage costs and efficiently identify the band subset with stable and high classification precision.

Citation Download Citation

Aizhu Zhang, Genyun Sun, and Zhenjie Wang "Optimized hyperspectral band selection using hybrid genetic algorithm and gravitational search algorithm", Proc. SPIE 9814, MIPPR 2015: Parallel Processing of Images and Optimization; and Medical Imaging Processing, 981403 (14 December 2015); https://doi.org/10.1117/12.2209435

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