基于PSO的航空遥感图像质量恢复算法  

Restoration Algorithm of Aerial Remote Sensing Image Quality Based on PSO

作　　者：谭晏松[1] 宋铁成 TAN Yan-song;SONG Tie-cheng(School of Big Data and Artificial Intelligence, Chongqing College of Electronic Engineering, Chongqing 401331, China;School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)

机构地区：[1]重庆电子工程职业学院人工智能与大数据学院,重庆401331 [2]重庆邮电大学通信与信息工程学院,重庆400065

出　　处：《西南师范大学学报（自然科学版）》2021年第3期13-19,共7页Journal of Southwest China Normal University(Natural Science Edition)

基　　金：重庆市教育委员会科技攻关项目(KJ1602906).

摘　　要：针对现有航空遥感图像恢复算法中出现的冗余伪像和颜色失真现象,提出一种基于PSO的航空遥感图像质量恢复算法.该算法通过有效的色彩平衡和饱和度调整、色彩还原以及基于粒子群优化(Particle Swarm Optimization,PSO)算法的对比度增强技术来恢复航空遥感图像的质量.实验结果表明:与其他现有质量恢复方法相比,通过定性和定量评估,本文提出的方法可以产生更优的视觉图像,表现出更好的性能.Aiming at the phenomenon of redundant artifacts and color distortion in existing aerial remote sensing image restoration algorithms,a restoration algorithm of aerial remote sensing image quality based on PSO has beenproposed.Through effective color balance and saturation adjustment,color restoration and contrast enhancement technology based on particle swarm optimization(PSO)algorithm,the algorithm can restore the quality of aerial remote sensing image.The experimental results show that compared with other existing quality restoration methods by visual and quantitative assessments,the proposed method can produce better visual image and show better performance.

关 键 词：航空遥感图像 质量恢复算法 色彩还原 对比度增强 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]