暗通道自然灾害遥感图像去雾
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摘要
为了解决自然灾害遥感影像中局部存在浓雾的问题,提出了一种基于暗原色先验和雾天图像退化模型的图像去雾方法,并利用导向滤波实现光学遥感影像的去雾.首先,结合自然灾害遥感图像的特点,利用阈值将图像分为浓雾区域和薄雾区域,采用不同的方法得出两个区域的暗通道图;然后,结合导向滤波对透射率图进行优化,再对图像进行对比度拉伸,提高图像的动态范围,并选取多幅遥感图像进行去雾试验.最后,设计了一组图像增强质量评价指标,对去雾结果进行定量分析.结果表明,该方法能从物理特性上明显去除雾的干扰,提高图像清晰度,增强图像色彩和细节,从而复原得到高质量图像,在一定程度上能满足自然灾害遥感图像去雾的要求.
In order to remove the haze in natural disaster remote sensing images,an approach based on dark channel and hazy image degradation model was presented,which could remove the haze by using guided filter.Firstly,images of natural disaster were divided into fog area and mist area by threshd,and different methods were used to obtain the dark channel of the images.Then,guided filter was used to optimize the transmmission map,and the contrast of the images was stretched to improve the dynamic range of the images.A series of natural disaster remote sensing images were chosen to test the alogrithm of haze removal.Finally,a series of evaluate parameters were proposed to assess the method.The result shows that the proposed algorithm can remove the haze of the images,improve the image quality,and enhance the color and detail of the images,so that the high-quality images can be obtained,which meet the requirements of haze removal for natural disaster remote sensing images to some extent.
引文
[1]陈鹰.遥感影像的数字摄影测量[M].同济大学出版社,2003.
    [2]TAO He-ping,LIU Bing-tao,LIU Shu-zhen,et al.Natural hazards monitoring using remote sensing—a case study of 5·12wenchuan earthquake[J].Journal of Mountain Science,2008,26(3):276-279.陶和平,刘斌涛,刘淑珍,等.遥感在重大自然灾害监测中的应用前景——以5.12汶川地震为例[J].山地学报,2008,26(3):276-279.
    [3]HE Hui,PENG Wang-lu,KUANG Jin-yu.Thin cloud cover removed from high-resolution remote sensing images based on the adaptive filtering and gray-scale transformation[J].Journal of Geo-information Science,2009,11(3):305-311.贺辉,彭望琭,匡锦瑜.自适应滤波的高分辨率遥感影像薄云去除算法[J].地球信息科学学报,2009,11(3):305-311.
    [4]TAN R.Visibility in bad weather from a single image[C].Proceedings of IEEE Conference on Computer Vision and Pattern Recognition,Alaska,USA,2008:1-8.
    [5]HE Kai-ming,SUN Jian,TANG Xiao-ou.Single image haze removal using dark channel prior[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2011,33(12):2341-2353.
    [6]FATTAL R.Single image dehazing[C].ACM Transactions on Graphics(TOG),ACM,2008,27(3):72.
    [7]YANG Jing-yu,ZHANG Yong-sheng,ZOU Xiao-liang,et al.Using dark channel prior to quickly remove haze from a single image[J].Geomantic and Information Science of Wuhan University,2010,35(11):1292-1295.杨靖宇,张永生,邹晓亮,等.利用暗原色先验知识实现航空影响快速去雾[J].武汉大学学报,2010,35(11):1292-1295.
    [8]LIU Lan,CHENG Yong-mei,ZHAO Yong-qiang,et al.An image dehazing method based on weighted dark channel prior[J].Acta Photonica Sinica,2012,41(3):320-325.刘楠,程咏梅,赵永强,等.基于加权暗通道的图像去雾方法[J].光子学报,2012,41(3):320-325.
    [9]SUN Kang,WANG Bo,ZHOU Zhi-qiang,et al.Real time image haze removal using bilateral filter[J].Transaction of Beijing Institute of Technology,2011,31(7):810-813.孙抗,汪渤,周志强,等.基于双边滤波的实时图像去雾技术研究[J].北京理工大学学报,2011,31(7):810-813.
    [10]PANG Chun-ying,JI Xiao-qiang,SUN Li-na,et al.An improved method of image fast defogging[J].Acta Photonica Sinica,2013,42(7):872-877.庞春颖,嵇晓强,孙丽娜,等.一种改进的图像快速去雾新方法[J].光子学报,2013,42(7):872-877.
    [11]CHEN Lu,HE Hong-jie,CHEN Fan.A fast image defogging algorithm based on edge-maximum filter[J].Acta Photonica Sinica,2014,43(11):1110003.陈露,和红杰,陈帆.基于边界邻域最大值滤波的快速图像去雾算法[J].光子学报,2014,43(11):1110003.
    [12]HUANG Li-hong.A novel algorithm for single image dehazing[J].Acta Photonica Sinica,2011,40(9):1419-1422.黄黎红.单幅图像的去雾新算法[J].光子学报,2011,40(9):1419-1422.
    [13]WANG Shi-zhen,WAN Hui-qiong.Haze removal methods of remote sensing images using dark channel prior[J].Journal of Geomatics Science and Technology,2011,28(3):183-189.王时震,万惠琼.应用暗原色先验规律的遥感影像去雾技术[J].测绘科学技术学报,2011,28(3):183-189.
    [14]ZHU Ya-bing,LIU Jun-min.An single image dehazing algorithm using sky detection and segmentation[C].Image and Signal Processing(CISP),2014 7th International Congress on.IEEE,2014:248-252.
    [15]WANG Zhong-liang,FENG Yan.Fast single haze image enhancement[J].Computers&Electrical Engineering,2014,40(3):785-795.
    [16]GUO De-quan,LIU Paul,SHE Yue,et al.Ultrasonic imaging contrast enhancement using modified dehaze image model[J].Electronics Letters,2013,49(19):1209-1211.

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