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遥感技术与应用  2015, Vol. 30 Issue (2): 277-284    DOI: 10.11873/j.issn.1004-0323.2015.2.0277
图像与数据处理     
高分辨率遥感影像阴影检测与补偿方法优化
邓琳1,邓明镜2,张力2
(1.西南交通大学地球科学与环境工程学院遥感信息工程系,四川 成都611756;
2.重庆交通大学 土木建筑学院测绘工程系,重庆400074)
Optimization of Shadow Detection and Compensation Method for High-resolution Remote Sensing Images
Deng Lin1,Deng Mingjing2,Zhang Lishu2
(1.Department of Remote Sensing and Geospatial Information Engineering,Southwest Jiaotong University,Chengdu 611756,China;
2.Department of Surveying and Mapping Engineering,Chongqing Jiaotong University,Chongqing 400074,China)
 全文: PDF(20808 KB)  
摘要:

针对现有阴影检测误检水体为阴影及阴影增强导致非阴影区域信息改变的问题,提出基于统计信息分析的主成分变换水体识别与剔除方法,并结合蓝光抑制算法和阴影同质区统计信息实现阴影补偿。首先使用归一化阴影指数(Normalized Difference Umbra Index,NDUI)实现阴影区域的初始检测,然后利用主成分变换后水体统计信息与阴影统计信息的差异实现水体的识别与去除,并结合小区域去除和数学形态学方法完成阴影区域的检测,最后使用蓝光抑制算法和阴影同质区的统计信息分别对H、I、S分量补偿,并将结果转换回RGB色彩空间完成阴影补偿。以不同地区的高分辨率WorldView2影像和UltraCam D影像对提出的方法进行测试,结果表明:该方法可有效解决水体误检测为阴影的问题,且能够降低阴影补偿对非阴影区域的影响。

关键词: HIS变换阴影检测主成分变换阴影补偿    
Abstract:

This paper proposed a method of identifying and eliminating water regions from shadows in remote sensing images based on statistical information of principal component analysis,and a method of shadow achieved compensation by combining the blue\|ray suppression algorithms and the statistical information of the companion regions.This paper first carried out the initial detection of shadow regions by utilizing the Normalized Difference Umbra Index(NDUI),and then identifyied and removed the water regions according to the statistics information difference of the water and shadow regions after principal component transformation,followed the accurate shadow masking by small regions removal and morphological algorithms.Subsequently,H,I and S components are compensated by blue\|ray suppression algorithms and statistical information of the companion regions.Finally,the results are converted back to RGB color space to complete shadow compensation.The methods proposed in this paper are tested by using the high\|resolution images of WorldView2 and UltraCam D.The results show that the proposed methods can effectively distinguish shadow regions from water regions and reduce the impact from the compensation process to the non\|shaded regions.

Key words: HIS transformation    Shadow detection    Principle components transformation    Shadow compensation
收稿日期: 2014-01-24 出版日期: 2015-05-08
:  TP 75  
基金资助:

重庆市教委科学技术研究项目(2019501344)。

作者简介: 邓琳(1989-),女,重庆江北人,硕士研究生,主要从事InSAR监测地表形变和遥感图像处理方面的研究。Email:rs.serene@gmail.com。
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引用本文:

邓琳,邓明镜,张力树. 高分辨率遥感影像阴影检测与补偿方法优化[J]. 遥感技术与应用, 2015, 30(2): 277-284.

Deng Lin,Deng Mingjing,Zhang Lishu. Optimization of Shadow Detection and Compensation Method for High-resolution Remote Sensing Images. Remote Sensing Technology and Application, 2015, 30(2): 277-284.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2015.2.0277        http://www.rsta.ac.cn/CN/Y2015/V30/I2/277

[1]Tsai V J D.A Comparative Study on Shadow Compensation of Color Aerial Images in Invariant Color models[J].IEEE Transactions on Geoscience and Remote Sensing,2006,44(6):1661-1671.

[2]Etemadnia H,Alsharif M R.Automatic Image Shadow Identification using LPF in Homomorphic Processing System[C]//VII Digital Image Computing:Techniques and Applications,Sydney,2003:429-438.

[3]Guo Jianghong,Tian Qingjiu,Wu Yunzhao.Study on Multispectral Detecting Shadow Areas and a Theoretical Model of Removing Shadows from Remote Sensing Images[J].Journal of Remote Sensing,2006,10(2):151-159.[虢建宏,田庆久,吴昀昭.遥感影像多波段检测与去除理论模型研究[J].遥感学报,2006,10(2):151-159.]

[4]Gao Xianjun,Wan Youchuan,Zheng Shunyi,et al.Automatic Shadow Detection and Compensation of Aerial Remote Sensing Images[J].Geomatics and Information Science of Wuhan University,2012,37(11):1299-1302.[高贤君,万幼川,郑顺义,等.航空遥感影像阴影的自动检测与补偿[J].武汉大学学报(信息科学版),2012,37(11):1299-1302.]

[5]Voicu L I ,Myler H R,Weeks A R.Practical Considerations on Color Image Enhancement Using Homomorphic Filtering[J].Journal of Electronic Imaging,1997,6(1):108-113.

[6]Bao Haiying,Li Yan,Yin Yongyi.The Study on Shadow Detection and Shadow Elimination in the Urban Aerial Image[J].Remote Sensing Information,2010,(1):46-49.[鲍海英,李艳,尹永宜.城市航空影像的阴影检测和阴影消除方法研究[J].遥感信息,2010,(1):44-47.]

[7]Shu J S,Freeman H.Cloud Shadow Removal from Aerial Photographs[J].Pattern Recognition,1990,23(6):647-656.

[8]Wang B,Ono A,Muramatsu K,et al.Automated Detection and Removal of Clouds and Their Shadows from Landsat TM Images[J].IEICE Transactions on Information and Systems,1999,82(2):453-460.

[9]Yang Jun,Zhao Zhongming,Yang Jian.A Shadow Removal Method for High Resolution Remote Sensing Image[J].Geomatics and Information Science of Wuhan University,2008,33(1):20-33.[杨俊,赵忠明,杨健.一种高分辨率遥感影像阴影去除方法[J].武汉大学学报(信息科学版),2008,33(1):20-23.]

[10]Li Y,Sasagawa T,Gong P.A System of the Shadow Detection and Shadow Removal for High Resolution City Aerial Photo[C]//ISPRS,Commission Ⅲ,Istanbul,2004.

[11]Wang Shugen,Guo Zejin,Li Deren.Shadow Compensation of Color Aerial Images[J].Geomatics and Information Science of Wuhan University,2003,28(5):514-516.[王树根,郭泽金,李德仁.彩色航空影像上阴影区域信息补偿的方法[J].武汉大学学报(信息科学版),2003,28(5):514-516.]

[12]Phong B T.Illumination for Computer Generated Pictures[J].Communications of the ACM,1975,18(6):311-317.

[13]Huang J F,Xie W X ,Tang L.Detection of and Compensation for Shadows in Colored Urban Aerial Images[C]//The 5th World Congr.Intelligent Control and Automation,Hangzhou,2004:3098-3100.

[14]Zhou Jianhua,Zhou Yifan,Guo Xiaohua.Methods of Extracting Distribution Information of Plants at Urban Darken Areas and Repairing Their Brightness[J].Journal of East China Normal University(Natural Science),2011,(6):7-15.[周坚华,周一凡,郭晓华.城镇阴影区植物分布信息提取与亮度修复的方法[J].华东师范大学学报(自然科学版),2011,(6):7-15.]

[15]Liu Hui,Xie Tianwen.Study on Shadow Detection in High Resolution Remote Sensing Image based on PCA and HIS Model[J].Remote Sensing Technology and Application,2013,28(1):78-84.[刘辉,谢天文.基于 PCA与HIS模型的高分辨率遥感影像阴影检测研究[J].遥感技术与应用,2013,28(1):78-84.]

[16]Otsu N.A Threshold Selection Method from Gray Level Histograms[J].IEEE Transactionsen Systemsen,Man,and Cyberneties,1979,9(1):62-69.

[17]Dare P M.Shadow Analysis in High-resolution Satellite Imagery of Urban Areas[J].Photogrammetric Engineering & Remote Sensing,2005,71(2):169-177.

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