一种改进暗通道先验的航空影像快速去雾方法  

A Fast Dehaze Method for Aerial Images with Improved Dark Channel Priors

作　　者：许懿娜[1] 王义[1] 黄华平[1] 杨丽颖 陈松 XU Yina;WANG Yi;HUANG Huaping;YANG Liying;CHEN Song(China Railway Eryuan Engineering Group Co.Ltd.,Chengdu 610083,China;China Power Construction Group Guiyang Survey,Design and Research Institute Co.Ltd.,Guiyang 550081,China;Wuhan Tianjihang Information Technology Co.Ltd.,Wuhan 430074,China)

机构地区：[1]中铁二院工程集团有限责任公司,成都610083 [2]中国电建集团贵阳勘测设计研究院有限公司,贵阳550081 [3]武汉天际航信息科技股份有限公司,武汉430074

出　　处：《遥感信息》2023年第6期36-41,共6页Remote Sensing Information

摘　　要：针对当前采用暗通道先验方法进行航空影像去雾时效率低下的问题,提出一种改进暗通道先验的快速去雾方法,从大气透射率t值获取、大气环境光A值获取两个方面进行改进。首先,采用均值滤波获取大气透射率t,在改进噪声问题的同时降低t值获取时间;接着,使用分块法代替原来的最小值滤波获取大气环境光A,进一步提升算法效率;最后,选取3幅航空影像,利用改进后的算法进行去雾实验,并对结果进行亮度调整。结果表明,改进后算法获取的去雾影像目视效果较好,与原始算法相比,该算法的去雾效率提升了34~74倍,在保证去雾影像质量的同时实现了航空影像快速去雾,对航空影像快速预处理、应急测绘等具有一定意义。Aiming at the problem that the dark channel prior method is too time-consuming to remove fog from aerial images,we propose a fast dehaze method with improved dark channel prior.It is improved from two aspects,which are fast acquisition of atmospheric transmittance t and fast acquisition of atmospheric ambient light A.Firstly,use the mean filter algorithm to obtain the atmospheric transmittance t,which reduces the time of obtaining t value while improving the noise problem.Secondly,use the block method to replace the original minimum filtering to obtain atmospheric ambient light A,which further improves the efficiency of the algorithm.Finally,select three aerial images for the dehaze experiment,and adjust the brightness of the results.The results show that the image obtained by the improved algorithm has good visual effect.Compared with the original algorithm,the efficiency of the proposed algorithm is improved by 34~74 times.The fast dehaze of aerial image is realized while ensuring the image quality,which is of great significance to the fast processing of aerial image and emergency mapping.

关 键 词：航空影像 去雾 暗通道先验 快速 滤波 

分 类 号：P237[天文地球—摄影测量与遥感]