Fusing Satellite Images Using ABC Optimizing Algorithm  

作　　者：Nguyen Hai Minh Nguyen Tu Trung Tran Thi Ngan Tran Manh Tuan 

机构地区：[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

出　　处：《Computer Systems Science & Engineering》2023年第9期3901-3909,共9页计算机系统科学与工程（英文）

摘　　要：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 signalto-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.

关 键 词：Remote sensing image satellite images image fusion WAVELET PSNR optimization ABC 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]