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作 者:时慧恩 孙希延[1] 黄建华[1] 白杨[1] 陶堃 SHI Huien;SUN Xiyan;HUANG Jianhua;BAI Yang;TAO Kun(Guilin University of Electronic Technology,School of Information and Communication,Guangxi Key Laboratory of Precision Navigation Technology and Application,Guilin,Guangxi 541004,China)
机构地区:[1]桂林电子科技大学信息与通信学院广西精密导航重点实验室,广西桂林541004
出 处:《光子学报》2021年第2期91-102,共12页Acta Photonica Sinica
基 金:国家自然科学基金(Nos.61561016,61861008,11603041);2019年桂林市科技计划项目重大专项计划(No.20190219-1);广西研究生教育创新计划项目(No.2020YCXS026)。
摘 要:针对山区容易积聚云雾不利于遥感影像解译,且遥感影像因包含大量信息数据计算速率慢,在去雾过程中遇到雾量过多的情况去除效果差的问题,提出了一种曲率滤波优化与非局部去雾方法相结合的光学遥感影像去雾算法。首先通过曲率滤波降低了图像的总能量,从而减少了图像占用的内存,提高了计算效率。然后通过霍夫变换表决机制筛选出符合的大气光值,再根据大气散射模型估算透射率。最后,通过图像重建获得无雾图像。实验结果表明,该方法在计算速率上显著快于未经高斯曲率滤波优化的方法,在去雾效果方面,雾量很多情况下所恢复图像细节清晰,亮度适宜,改善了去雾时雾量很多去除效果差的情况。In view of the fact that the mountainous area is easy to accumulate clouds and haze,it brings difficulties to the interpretation of remote sensing images.In addition,the remote sensing image contains a large amount of information and the calculation rate is slow.In the process of dehazing,aiming at the problem of poor removal effect when the amount of haze is too much.A dehaze algorithm for optical remote sensing images that combines curvature filtering optimization and non-local dehaze method is proposed.First,curvature filter is used to reduce the total energy of the images,thereby reducing the memory occupied by the images and improving the calculation efficiency.Then the Hough transform voting mechanism is used to screen out the corresponding atmospheric light value,and the transmittance is estimated according to the atmospheric scattering model.Finally,the image reconstruction method is used to obtain the dehazed image.The experimental results show that the calculation rate of the proposed method is significantly faster than the method without Gaussian curvature filtering optimization.In terms of dehazing effect,the restored images are more detailed and clearer when the amount of haze is large,and the brightness is appropriate,which improves the effect of dehazing.
关 键 词:遥感影像 曲率滤波 非局部去雾 图像重建 大气光值
分 类 号:TP751[自动化与计算机技术—检测技术与自动化装置]
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