一种高分辨率遥感影像阴影补偿方法
|
摘要
针对遥感影像中阴影的存在直接影响影像质量以及地物信息提取和识别,而现有的阴影补偿方法在普适性上都有一定的局限性问题,该文结合Curvelet变换理论,对常用的基于HIS色彩空间的阴影补偿算法进行改造,提出了一种Curvelet变换和HIS色彩模型相结合的高分辨率遥感影像阴影补偿新算法:首先对遥感影像进行色彩空间变换,将影像从RGB空间转换到HIS空间,对人眼非常敏感,且包含丰富纹理信息的I分量进行曲波变换;然后对变换的高频和低频系数进行补偿处理,同时依据阴影区域及其周边非阴影区域的均值和标准差分别对H和S分量进行修正处理;最后将处理后的H、I和S分量进行色彩空间逆变换。实验结果表明,与同态滤波、单一HIS色彩模型、小波变换和HIS色彩模型相结合等常用的阴影补偿算法相比,Curvelet变换和HIS色彩模型相结合的算法能够取得更好的补偿效果。
The shadow in remote sensing image means poor image quality,which increases the difficulty in extracting and recognizing the object information from images,but the common methods used in compensating shadow have some limitations.In this paper,a new shadow compensation algorithm based on curvelet transform and HIS color model is proposed for high resolution remote sensing images.This algorithmcontains following steps:Firstly,convert images from RGB space to HIS space;and then,‘I'component is played curvelet transform into HIS space,which is very sensitive to human eyes and contains abundant texture information;Secondly,compensate the high frequency and low frequency coefficients from curvelet transform,adjust‘H'and ‘S'components according to the average value and standard deviation of shadow region and its adjacent non-shadow region;Finally,I,H and Scomponents after compensated are performed color space inverse transformation.Experimental results show that,compared with common algorithms,such as homomorphic filtering algorithm,separate HIS color model,wavelet transform and HIS color model,the new algorithm could achieve better shadow compensation effect.
The shadow in remote sensing image means poor image quality,which increases the difficulty in extracting and recognizing the object information from images,but the common methods used in compensating shadow have some limitations.In this paper,a new shadow compensation algorithm based on curvelet transform and HIS color model is proposed for high resolution remote sensing images.This algorithmcontains following steps:Firstly,convert images from RGB space to HIS space;and then,‘I'component is played curvelet transform into HIS space,which is very sensitive to human eyes and contains abundant texture information;Secondly,compensate the high frequency and low frequency coefficients from curvelet transform,adjust‘H'and ‘S'components according to the average value and standard deviation of shadow region and its adjacent non-shadow region;Finally,I,H and Scomponents after compensated are performed color space inverse transformation.Experimental results show that,compared with common algorithms,such as homomorphic filtering algorithm,separate HIS color model,wavelet transform and HIS color model,the new algorithm could achieve better shadow compensation effect.
引文
[1]姚花琴,杨树文,刘正军,等.一种城市高大地物阴影检测方法[J].测绘科学,2015,40(10):110-113.(YAO Huaqin,YANG Shuwen,LIU Zhengjun,et al.Shadow detection method of city large objects based on WorldView-2image[J].Science of Surveying and Mapping,2015,40(10):110-113.)
[2] SUMATHY E,VIJAYALAKSHMI S.Shadow removal from remote sensing images by efficient inpainting method[J].International Journal of Applied Engineering Research,2015,10(8):19989-19999.
[3]曾敬文,王学文,侯文广.连续局部阈值分割的阴影检测方法[J].测绘科学,2016,41(11):93-97.(ZENG Jingwen,WANG Xuewen,HOU Wenguang.A noveI successive threshold shadow detection scheme[J].Science of Surveying and Mapping,2016,41(11):93-97.)
[4]王冰,安慧君,刘怀鹏.QuickBird影像城市阴影信息的提取与消除[J].地球信息科学学报,2016,18(2):255-262.(WANG Bing,AN Huijun,LIU Huaipeng.Study on city shadow extraction and elimination in QuickBird images[J].Journal of Geo-information Science,2016,18(2):255-262.)
[5]罗艳,辛俊伟,何海清.WorldView-Ⅱ遥感影像的阴影检测方法研究[J].测绘科学,2017,42(9):132-142.(LUO Yan,XIN Junwei,HE Haiqing.Research on shadow detection method of WorldView-Ⅱremote sensing image[J].Science of Surveying and Mapping,2017,42(9):132-142.)
[6]温兆飞,吴胜军,陈吉龙,等.辐射特征支持下的城市高分影像阴影校正[J].遥感学报,2016,20(1):138-148.(WEN Zhaofei,WU Shengjun,CHEN Jilong,et al.Radiancetransfer process based shadow correction method for urban regions in high spatial resolution image[J].Journal of Remote Sensing,2016,20(1):138-148.)
[7] MOVIA A,BEINAT F C.Shadow detection and removalin RGB VHR images for land use unsupervised classification[J].ISPRS Journal of Photogrammetry and Remote Sensing,2016(24):485-495.
[8] YANG Jian,HE Yuhong,JOHN C.Fully constrained linear spectral unmixing based global shadow compensation for high resolution satellite imagery of urban areas[J].International Journal of Applied Earth Observation and Geoinformation,2015,38(6):88-98.
[9]高贤君,万幼川,何培培,等.单幅航空影像中云阴影的自动去除[J].天津大学学报(自然科学与工程技术版),2014,47(9):771-777.(GAO Xianjun,WAN Youchuan,HE Peipei,et al.Automatic cloud shadow removal in single aerial image[J].Journal of Tianjin University(Science and Technology),2014,47(9):771-777.)
[10]ADELINE K R M,CHEN M,BRIOTTET X,et al.Shadow detection in very high spatial resolution aerial images:a comparative study[J].Journal of Photogrammetry&Remote Sensing,2013,80(142):21-38.
[11]王理政,林祥国,宁晓刚.面向对象的高分辨率遥感影像阴影提取方法[J].测绘科学,2017,42(3):108-113.(WANG Lizheng,LIN Xiangguo,NING Xiaogang.Object oriented method of shadow extraction from high resolution remote sensing imagery[J].Science of Surveying and Mapping,2017,42(3):108-113.)
[12]武明虎,宋冉冉,刘敏.结合HSV与纹理特征的视频阴影消除算法[J].中国图象图形学报,2017,22(10):1373-1380.(WU Minghu,SONG Ranran,LIU Min.Video shadow elimination algorithm by combining HSV with texture features[J].Journal of Image and Graphics,2017,22(10):1373-1380.)
[13]SUNY A H,MITHILA N H.A shadow detection and removal from a single image using LAB color space[J].International Journal of Computer Science Issues,2013,13(1):95-103.
[14]吕雪莹.基于Curvelet变换的图像去噪算法研究[D].哈尔滨:哈尔滨工业大学,2014.(LYU Xueying.Researchon the method based on the curvelet transform image denoising[D].Harbin:Harbin Institute of Technology,2014.)
[15]王蜜蜂,缪剑,李星全.基于RGB和HIS色彩空间的遥感影像阴影补偿算法[J].地理空间信息,2014,12(6):107-109.(WANG Mifeng,MIU Jian,LI Xingquan.Shadow compensation algorithm of remote sensing image based on RGB and HIS color space[J].Geospatial Information,2014,12(6):107-109.)
[16]韩延彬,郭晓鹏,魏延文,等.RGB和HIS颜色空间的一种改进的阴影消除算法[J].智能系统学报,2015,10(5):769-774.(HAN Yanbin,GUO Xiaopen,WEI Yanwen,et al.An improved shadow removal algorithm based on RGB and HIS color spaces[J].CAAI Transactions on Intelligent Systems,2015,10(5):769-774.)
[17]崔永福,李国发,吴国忱,等.基于面波模拟和曲波变换的去噪技术[J].吉林大学学报(地球科学版),2016,46(3):911-919.(CUI Yongfu,LI Guofa,WU Guozhen,et al.Denoising technique based on surface wave modeling and curvelet transform[J].Journal of Jilin University(Earth Soience Edition),2016,46(3):911-919.)
[18]王博,张永军,陈奇.一种多尺度几何细节抽取的阴影处理算法[J].国土资源遥感,2014,26(4):23-28.(WANG Bo,ZHANG Yongjun,CHEN Qi.A shadow processing algorithm based on extracted multiscale geometric details[J].Remote Sensing for Land and Resources,2014,26(4):23-28.)
[19]郝红侠,刘芳,焦李成.基于Curvelet多方向差和多尺度积的图像去噪[J].华中科技大学学报(自然科学版),2013,41(12):39-42.(HAO Hongxia,LIU Fang,JIAO Licheng.Image denoising based on multi-directional difference and multrscale products of curvelet transform[J].Journal Huazhong University of Science and Tcchnology(Natural Scicncc Edition),2013,41(12):39-42.
[20]BANKMAN,ISAAC N.Handbook of medical image processing and analysis[M].Amsterdam:Elsevier,2009:35-57.
[2] SUMATHY E,VIJAYALAKSHMI S.Shadow removal from remote sensing images by efficient inpainting method[J].International Journal of Applied Engineering Research,2015,10(8):19989-19999.
[3]曾敬文,王学文,侯文广.连续局部阈值分割的阴影检测方法[J].测绘科学,2016,41(11):93-97.(ZENG Jingwen,WANG Xuewen,HOU Wenguang.A noveI successive threshold shadow detection scheme[J].Science of Surveying and Mapping,2016,41(11):93-97.)
[4]王冰,安慧君,刘怀鹏.QuickBird影像城市阴影信息的提取与消除[J].地球信息科学学报,2016,18(2):255-262.(WANG Bing,AN Huijun,LIU Huaipeng.Study on city shadow extraction and elimination in QuickBird images[J].Journal of Geo-information Science,2016,18(2):255-262.)
[5]罗艳,辛俊伟,何海清.WorldView-Ⅱ遥感影像的阴影检测方法研究[J].测绘科学,2017,42(9):132-142.(LUO Yan,XIN Junwei,HE Haiqing.Research on shadow detection method of WorldView-Ⅱremote sensing image[J].Science of Surveying and Mapping,2017,42(9):132-142.)
[6]温兆飞,吴胜军,陈吉龙,等.辐射特征支持下的城市高分影像阴影校正[J].遥感学报,2016,20(1):138-148.(WEN Zhaofei,WU Shengjun,CHEN Jilong,et al.Radiancetransfer process based shadow correction method for urban regions in high spatial resolution image[J].Journal of Remote Sensing,2016,20(1):138-148.)
[7] MOVIA A,BEINAT F C.Shadow detection and removalin RGB VHR images for land use unsupervised classification[J].ISPRS Journal of Photogrammetry and Remote Sensing,2016(24):485-495.
[8] YANG Jian,HE Yuhong,JOHN C.Fully constrained linear spectral unmixing based global shadow compensation for high resolution satellite imagery of urban areas[J].International Journal of Applied Earth Observation and Geoinformation,2015,38(6):88-98.
[9]高贤君,万幼川,何培培,等.单幅航空影像中云阴影的自动去除[J].天津大学学报(自然科学与工程技术版),2014,47(9):771-777.(GAO Xianjun,WAN Youchuan,HE Peipei,et al.Automatic cloud shadow removal in single aerial image[J].Journal of Tianjin University(Science and Technology),2014,47(9):771-777.)
[10]ADELINE K R M,CHEN M,BRIOTTET X,et al.Shadow detection in very high spatial resolution aerial images:a comparative study[J].Journal of Photogrammetry&Remote Sensing,2013,80(142):21-38.
[11]王理政,林祥国,宁晓刚.面向对象的高分辨率遥感影像阴影提取方法[J].测绘科学,2017,42(3):108-113.(WANG Lizheng,LIN Xiangguo,NING Xiaogang.Object oriented method of shadow extraction from high resolution remote sensing imagery[J].Science of Surveying and Mapping,2017,42(3):108-113.)
[12]武明虎,宋冉冉,刘敏.结合HSV与纹理特征的视频阴影消除算法[J].中国图象图形学报,2017,22(10):1373-1380.(WU Minghu,SONG Ranran,LIU Min.Video shadow elimination algorithm by combining HSV with texture features[J].Journal of Image and Graphics,2017,22(10):1373-1380.)
[13]SUNY A H,MITHILA N H.A shadow detection and removal from a single image using LAB color space[J].International Journal of Computer Science Issues,2013,13(1):95-103.
[14]吕雪莹.基于Curvelet变换的图像去噪算法研究[D].哈尔滨:哈尔滨工业大学,2014.(LYU Xueying.Researchon the method based on the curvelet transform image denoising[D].Harbin:Harbin Institute of Technology,2014.)
[15]王蜜蜂,缪剑,李星全.基于RGB和HIS色彩空间的遥感影像阴影补偿算法[J].地理空间信息,2014,12(6):107-109.(WANG Mifeng,MIU Jian,LI Xingquan.Shadow compensation algorithm of remote sensing image based on RGB and HIS color space[J].Geospatial Information,2014,12(6):107-109.)
[16]韩延彬,郭晓鹏,魏延文,等.RGB和HIS颜色空间的一种改进的阴影消除算法[J].智能系统学报,2015,10(5):769-774.(HAN Yanbin,GUO Xiaopen,WEI Yanwen,et al.An improved shadow removal algorithm based on RGB and HIS color spaces[J].CAAI Transactions on Intelligent Systems,2015,10(5):769-774.)
[17]崔永福,李国发,吴国忱,等.基于面波模拟和曲波变换的去噪技术[J].吉林大学学报(地球科学版),2016,46(3):911-919.(CUI Yongfu,LI Guofa,WU Guozhen,et al.Denoising technique based on surface wave modeling and curvelet transform[J].Journal of Jilin University(Earth Soience Edition),2016,46(3):911-919.)
[18]王博,张永军,陈奇.一种多尺度几何细节抽取的阴影处理算法[J].国土资源遥感,2014,26(4):23-28.(WANG Bo,ZHANG Yongjun,CHEN Qi.A shadow processing algorithm based on extracted multiscale geometric details[J].Remote Sensing for Land and Resources,2014,26(4):23-28.)
[19]郝红侠,刘芳,焦李成.基于Curvelet多方向差和多尺度积的图像去噪[J].华中科技大学学报(自然科学版),2013,41(12):39-42.(HAO Hongxia,LIU Fang,JIAO Licheng.Image denoising based on multi-directional difference and multrscale products of curvelet transform[J].Journal Huazhong University of Science and Tcchnology(Natural Scicncc Edition),2013,41(12):39-42.
[20]BANKMAN,ISAAC N.Handbook of medical image processing and analysis[M].Amsterdam:Elsevier,2009:35-57.