Open Access

ARTICLE

Fusing Satellite Images Using ABC Optimizing Algorithm

Nguyen Hai Minh¹, Nguyen Tu Trung^2,*, Tran Thi Ngan², Tran Manh Tuan²

1 University of Information and Communication Technology, Thai Nguyen University, Thai Nguyen, 240000, Vietnam
2 Faculty of Computer Science and Engineering, Thuyloi University, 175 Tay Son, Dong Da, Hanoi, 010000, Vietnam

* Corresponding Author: Nguyen Tu Trung. Email:

Computer Systems Science and Engineering 2023, 46(3), 3901-3909. https://doi.org/10.32604/csse.2023.032311

Received 13 May 2022; Accepted 27 June 2022; Issue published 03 April 2023

Abstract

Fusing satellite (remote sensing) images is an interesting topic in processing satellite images. The result image is achieved through fusing information from spectral and panchromatic images for sharpening. In this paper, a new algorithm based on based the Artificial bee colony (ABC) algorithm with peak signal-to-noise ratio (PSNR) index optimization is proposed to fusing remote sensing images in this paper. Firstly, Wavelet transform is used to split the input images into components over the high and low frequency domains. Then, two fusing rules are used for obtaining the fused images. The first rule is “the high frequency components are fused by using the average values”. The second rule is “the low frequency components are fused by using the combining rule with parameter”. The parameter for fusing the low frequency components is defined by using ABC algorithm, an algorithm based on PSNR index optimization. The experimental results on different input images show that the proposed algorithm is better than some recent methods.

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Keywords

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