利用对象光谱与纹理实现高分辨率遥感影像云检测方法
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摘要
针对高分辨率遥感影像云检测过程中合适的云检测光谱阈值难以确定及影像中类云地物对云检测精度影响的问题,提出一种基于对象光谱与纹理的高分辨率遥感影像云检测方法。首先,对影像进行直方图均衡化处理,根据均衡化影像直方图获得合适的影像云检测光谱阈值。其次,用简单线性迭代聚类算法对影像进行分割生成分割对象,以对象为处理单元,根据云检测光谱阈值和对象光谱属性对对象进行云检测过滤,获得初始云检结果。然后,求得直方图均衡化影像的纹理图,根据对象的纹理均值及角二阶矩对初始云检测结果提纯,消除类云地物对云检测精度的影响。最后对提纯云区域进行区域增长及膨胀处理,获得最终的影像云检测结果。定性对比试验和定量评价结果表明,本文方法可以获得良好的影像云检测结果。
To solving the problems that the spectral threshold selection of image cloud detection and the influence of cloud-like ground objects on cloud detection results,a novel cloud detection method for HSRI based onthe spectrum and texture of objects is proposed.Firstly,histogram equalization is performed on the image,and then the appropriate image cloud detection spectral threshold is obtained according to the image equalization histogram.Secondly,the image is segmented to obtain superpixels using the simple linear iterative clustering algorithm.The cloud in the image is initially detected based on cloud detection threshold and spectral attributes of superpixels.Thirdly,the local binary patterns(LBP)texture image of histogram equalization image is obtained.The initial cloud detection image is refined based on the gray mean value and angular second moment of the superpixels LBP texture to eliminate the influence of cloud like objects.Finally,the cloud detection image is processed using region growing algorithm and expansion algorithm to obtain accurate cloud detection results.The experimental results show that the proposed method can obtain good cloud detection results.
To solving the problems that the spectral threshold selection of image cloud detection and the influence of cloud-like ground objects on cloud detection results,a novel cloud detection method for HSRI based onthe spectrum and texture of objects is proposed.Firstly,histogram equalization is performed on the image,and then the appropriate image cloud detection spectral threshold is obtained according to the image equalization histogram.Secondly,the image is segmented to obtain superpixels using the simple linear iterative clustering algorithm.The cloud in the image is initially detected based on cloud detection threshold and spectral attributes of superpixels.Thirdly,the local binary patterns(LBP)texture image of histogram equalization image is obtained.The initial cloud detection image is refined based on the gray mean value and angular second moment of the superpixels LBP texture to eliminate the influence of cloud like objects.Finally,the cloud detection image is processed using region growing algorithm and expansion algorithm to obtain accurate cloud detection results.The experimental results show that the proposed method can obtain good cloud detection results.
引文
[1]刘婧,李培军.结合结构和光谱特征的高分辨率影像分割方法[J].测绘学报,2014,43(5):466-473.DOI:10.13485/j.cnki.11-2089.2014.0087.LIU Jing,LI Peijun.A High Resolution Image Segmentation Method by Combined Structural and Spectral Characteristics[J].Acta Geodaetica et Cartographica Sinica,2014,43(5):466-473.DOI:10.13485/j.cnki.11-2089.2014.0087.
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[6]陶淑苹,金光,张贵祥,等.实现遥感相机自主辨云的小波SCM算法[J].测绘学报,2011,40(5):598-603.TAO Shuping,JIN Guang,ZHANG Guixiang,et al.A Wavelet SCM Algorithm Used to Detect Cloud in Remote Sensing Cameras[J].Acta Geodaetica et Cartographica Sinica,2011,40(5):598-603.
[7]康一飞,潘励,孙明伟,等.基于高斯混合模型法的国产高分辨率卫星影像云检测[J].武汉大学学报(信息科学版),2017,42(6):782-788.DOI:10.13203/j.whugis20140875.KANG Yifei,PAN Li,SUN Mingwei,et al.Gaussian Mixture Model Based Cloud Detection for Chinese High Resolution Satellite Imagery[J].Geomatics and Information Science of Wuhan University,2017,42(6):782-788.DOI:10.13203/j.whugis20140875.
[8]YUAN Yi,HU Xiangyun.Bag-of-words and Object-based Classification for Cloud Extraction from Satellite Imagery[J].IEEE Journal of Selected Topics in Applied Earth Observations &Remote Sensing,2015,8(8):4197-4205.
[9]LI Zhiwei,SHEN Huanfeng,LI Huifang,et al.Multifeature combined cloud and cloud shadow detection in GaoFen-1wide field of view imagery[J].Remote Sensing of Environment,2017,191:342-358.
[10]赵晓,侯晴宇,梁冰冰,等.基于多属性融合的高分辨率遥感图像云检测方法[J].光学技术,2014,40(2):145-150.ZHAO Xiao,HOU Qingyu,LIANG Bingbing,et al.A Method for Cloud Detection in High-resolution RemoteSensing Image Based on Multi-attribute Fusion[J].Optical Technique,2014,40(2):145-150.
[11]陈振炜,张过,宁津生,等.资源三号测绘卫星自动云检测[J].测绘学报,2015,44(3):292-300.DOI:10.11947/j.AGCS.2015.20130384.CHEN Zhenwei,ZHANG Guo,NING Jinsheng,et al.An Automatic Cloud Detection Method for ZY-3Satellite[J].Acta Geodaetica et Cartographica Sinica,2015,44(3):292-300.DOI:10.11947/j.AGCS.2015.20130384.
[12]谭凯,张永军,童心,等.国产高分辨率遥感卫星影像自动云检测[J].测绘学报,2016,45(5):581-591.DOI:10.11947/j.AGCS.2016.20150500.TAN Kai,ZHANG Yongjun,TONG Xin,et al.Automatic Cloud Detection for Chinese High Resolution Remote Sensing Satellite Imagery[J].Acta Geodaetica et Cartographica Sinica,2016,45(5):581-591.DOI:10.11947/j.AGCS.2016.20150500.
[13]王伟,宋卫国,刘士兴,等.Kmeans聚类与多光谱阈值相结合的MODIS云检测算法[J].光谱学与光谱分析,2011,31(4):1061-1064.WANG Wei,SONG Weiguo,LIU Shixing,et al.A Cloud Detection Algorithm for MODIS Images Combining Kmeans Clustering and Multi-spectral Threshold Method[J].Spectroscopy and Spectral Analysis,2011,31(4):1061-1064.
[14]冯书谊,张宁,沈霁,等.基于反射率特性的高光谱遥感图像云检测方法研究[J].中国光学,2015,8(2):198-204.FENG Shuyi,ZHANG Ning,SHEN Ji,et al.Method of Cloud Detection with Hyperspectral Remote Sensing Image Based on the Reflective Characteristics[J].Chinese Optics,2015,8(2):198-204.
[15]王仁礼,郝玉保,顾立娟.改进的边缘角度直方图在遥感图像检索中的应用[J].测绘科学,2008,33(6):70-72.WANG Renli,HAO Yubao,GU Lijuan.Remote Sensing Image Retrieval Based on Improved Edge Angular Histogram[J].Science of Surveying and Mapping,2008,33(6):70-72.
[16]WANG Mi,DONG Zhipeng,CHENG Yufeng,et al.Optimal Segmentation of High-resolution Remote Sensing Image by Combining Superpixels with the Minimum Spanning Tree[J].IEEE Transactions on Geoscience and Remote Sensing,2017,56(1):228-238.
[17]MYINY S W,GOBER P,BRAZEL A,et al.Per-pixel vs.Object-based Classification of Urban Land Cover Extraction Using High Spatial Resolution Imagery[J].Remote Sensing of Environment,2011,115(5):1145-1161.
[18]REN X,MALIK J.Learning A Classification Model for Segmentation[C]∥Proceedings of the Ninth IEEE International Conference on Computer Vision,2003.Nice,France:IEEE,2003:10-17.
[19]ACHANATA R,SHAJI A,SMITH K,et al.SLIC Superpixels Compared to State-of-the-art Superpixel Methods[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,34(11):2274-2282.
[20]董志鹏,梅小明,陈杰,等.简单线性迭代聚类的高分辨率遥感影像分割[J].遥感信息,2016,31(6):83-88.DONG Zhipeng,MEI Xiaoming,CHEN Jie,et al.Image Segmentation of High Resolution Remote Sensing Imagery Based on Simple Linear Iterative Clustering[J].Remote Sensing Information,2016,31(6):83-88.
[21]OJALA T,PIETIKINEN M,HARWOOD I.A Comparative Study of Texture Measures with Classification Based on Featured Distributions[J].Pattern Recognition,1996,29(1):51-59.
[22]张慧娜,李裕梅.局部二值模式方法综述及研究展望[J].图像与信号处理,2016,5(3):121-146.ZHANG Huina,LI Yumei.An Overview and Research Perspective of Local Binary Pattern[J].Journal of Image and Signal Processing,2016,5(3):121-146.
[23]OJALA T,PIETIKINEN M,MENPT.Multiresolution Gray-scale and Rotation Invariant Texture Classification with Local Binary Patterns[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(7):971-987.
[24]HARALICK R M,SHANMUGAM K,DINSTEIN I.Textural Features for Image Classification[J].IEEE Transactions on Systems,Man,and Cybernetics,1973,SMC-3(6):610-621.
[25]单娜,郑天垚,王贞松.快速高准确度云检测算法及其应用[J].遥感学报,2009,13(6):1138-1155.SHAN Na,ZHENG Tianyao,WANG Zhensong.Highspeed and High-accuracy Algorithm for Cloud Detection and Its Application[J].Journal of Remote Sensing,2009,13(6):1138-1155.
[26]曹琼,郑红,李行善.一种基于纹理特征的卫星遥感图像云探测方法[J].航空学报,2007,28(3):661-666.CAO Qiong,ZHENG Hong,LI Xingshan.A Method for Detecting Cloud in Satellite Remote Sensing Image Based on Texture[J].Acta Aeronautica et Astronautica Sinica,2007,28(3):661-666.
[27]DERRIEN M,LE GLAU H.MSG/SEVIRI Cloud Mask and Type from SAFNWC[J].International Journal of Remote Sensing,2005,26(21):4707-4732.
[2]董志鹏,王密,李德仁.一种融合超像素与最小生成树的高分辨率遥感影像分割方法[J].测绘学报,2017,46(6):734-742.DOI:10.11947/j.AGCS.2017.20160514.DONG Zhipeng,WANG Mi,LI Deren.A High Resolution Remote Sensing Image Segmentation Method by Combining Superpixels with Minimum Spanning Tree[J].Acta Geodaetica et Cartographica Sinica,2017,46(6):734-742.DOI:10.11947/j.AGCS.2017.20160514.
[3]吕明明,韩立建,田淑芳,等.多样地表和大气状况下的MODIS数据云检测[J].遥感学报,2016,20(6):1371-1380.DOI:10.11834/jrs.20165281.LMingming,HAN Lijian,TIAN Shufang,et al.Cloud Detection Under Varied Surfaces and Atmospheric Conditions with MODIS Imagery[J].Journal of Remote Sensing,2016,20(6):1371-1380.DOI:10.11834/jrs.20165281.
[4]周全,张荣,尹东.基于高斯金字塔的遥感云图多尺度特征提取[J].遥感技术与应用,2010,25(5):604-608.DOI:10.11873/j.issn.1004-0323.2010.5.604.ZHOU Quan,ZHANG Rong,YIN Dong.The Extracting of Multiscale Features of Remote Sensing Cloud Images Based on Gaussian Pyramid[J].Remote Sensing technology and Application,2010,25(5):604-608.DOI:10.11873/j.issn.1004-0323.2010.5.604.
[5]胡根生,陈长春,梁栋.联合云量自动评估和加权支持向量机的Landsat图像云检测[J].测绘学报,2014,43(8):848-854.DOI:10.13485/j.cnki.11-2089.2014.0117.HU Gengsheng,CHEN Changchu,LIANG Dong.Cloud Detection for Landsat Images by Combination of ACCA with WSVM[J].Acta Geodaetica et Cartographica Sinica,2014,43(8):848-854.DOI:10.13485/j.cnki.11-2089.2014.0117.
[6]陶淑苹,金光,张贵祥,等.实现遥感相机自主辨云的小波SCM算法[J].测绘学报,2011,40(5):598-603.TAO Shuping,JIN Guang,ZHANG Guixiang,et al.A Wavelet SCM Algorithm Used to Detect Cloud in Remote Sensing Cameras[J].Acta Geodaetica et Cartographica Sinica,2011,40(5):598-603.
[7]康一飞,潘励,孙明伟,等.基于高斯混合模型法的国产高分辨率卫星影像云检测[J].武汉大学学报(信息科学版),2017,42(6):782-788.DOI:10.13203/j.whugis20140875.KANG Yifei,PAN Li,SUN Mingwei,et al.Gaussian Mixture Model Based Cloud Detection for Chinese High Resolution Satellite Imagery[J].Geomatics and Information Science of Wuhan University,2017,42(6):782-788.DOI:10.13203/j.whugis20140875.
[8]YUAN Yi,HU Xiangyun.Bag-of-words and Object-based Classification for Cloud Extraction from Satellite Imagery[J].IEEE Journal of Selected Topics in Applied Earth Observations &Remote Sensing,2015,8(8):4197-4205.
[9]LI Zhiwei,SHEN Huanfeng,LI Huifang,et al.Multifeature combined cloud and cloud shadow detection in GaoFen-1wide field of view imagery[J].Remote Sensing of Environment,2017,191:342-358.
[10]赵晓,侯晴宇,梁冰冰,等.基于多属性融合的高分辨率遥感图像云检测方法[J].光学技术,2014,40(2):145-150.ZHAO Xiao,HOU Qingyu,LIANG Bingbing,et al.A Method for Cloud Detection in High-resolution RemoteSensing Image Based on Multi-attribute Fusion[J].Optical Technique,2014,40(2):145-150.
[11]陈振炜,张过,宁津生,等.资源三号测绘卫星自动云检测[J].测绘学报,2015,44(3):292-300.DOI:10.11947/j.AGCS.2015.20130384.CHEN Zhenwei,ZHANG Guo,NING Jinsheng,et al.An Automatic Cloud Detection Method for ZY-3Satellite[J].Acta Geodaetica et Cartographica Sinica,2015,44(3):292-300.DOI:10.11947/j.AGCS.2015.20130384.
[12]谭凯,张永军,童心,等.国产高分辨率遥感卫星影像自动云检测[J].测绘学报,2016,45(5):581-591.DOI:10.11947/j.AGCS.2016.20150500.TAN Kai,ZHANG Yongjun,TONG Xin,et al.Automatic Cloud Detection for Chinese High Resolution Remote Sensing Satellite Imagery[J].Acta Geodaetica et Cartographica Sinica,2016,45(5):581-591.DOI:10.11947/j.AGCS.2016.20150500.
[13]王伟,宋卫国,刘士兴,等.Kmeans聚类与多光谱阈值相结合的MODIS云检测算法[J].光谱学与光谱分析,2011,31(4):1061-1064.WANG Wei,SONG Weiguo,LIU Shixing,et al.A Cloud Detection Algorithm for MODIS Images Combining Kmeans Clustering and Multi-spectral Threshold Method[J].Spectroscopy and Spectral Analysis,2011,31(4):1061-1064.
[14]冯书谊,张宁,沈霁,等.基于反射率特性的高光谱遥感图像云检测方法研究[J].中国光学,2015,8(2):198-204.FENG Shuyi,ZHANG Ning,SHEN Ji,et al.Method of Cloud Detection with Hyperspectral Remote Sensing Image Based on the Reflective Characteristics[J].Chinese Optics,2015,8(2):198-204.
[15]王仁礼,郝玉保,顾立娟.改进的边缘角度直方图在遥感图像检索中的应用[J].测绘科学,2008,33(6):70-72.WANG Renli,HAO Yubao,GU Lijuan.Remote Sensing Image Retrieval Based on Improved Edge Angular Histogram[J].Science of Surveying and Mapping,2008,33(6):70-72.
[16]WANG Mi,DONG Zhipeng,CHENG Yufeng,et al.Optimal Segmentation of High-resolution Remote Sensing Image by Combining Superpixels with the Minimum Spanning Tree[J].IEEE Transactions on Geoscience and Remote Sensing,2017,56(1):228-238.
[17]MYINY S W,GOBER P,BRAZEL A,et al.Per-pixel vs.Object-based Classification of Urban Land Cover Extraction Using High Spatial Resolution Imagery[J].Remote Sensing of Environment,2011,115(5):1145-1161.
[18]REN X,MALIK J.Learning A Classification Model for Segmentation[C]∥Proceedings of the Ninth IEEE International Conference on Computer Vision,2003.Nice,France:IEEE,2003:10-17.
[19]ACHANATA R,SHAJI A,SMITH K,et al.SLIC Superpixels Compared to State-of-the-art Superpixel Methods[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,34(11):2274-2282.
[20]董志鹏,梅小明,陈杰,等.简单线性迭代聚类的高分辨率遥感影像分割[J].遥感信息,2016,31(6):83-88.DONG Zhipeng,MEI Xiaoming,CHEN Jie,et al.Image Segmentation of High Resolution Remote Sensing Imagery Based on Simple Linear Iterative Clustering[J].Remote Sensing Information,2016,31(6):83-88.
[21]OJALA T,PIETIKINEN M,HARWOOD I.A Comparative Study of Texture Measures with Classification Based on Featured Distributions[J].Pattern Recognition,1996,29(1):51-59.
[22]张慧娜,李裕梅.局部二值模式方法综述及研究展望[J].图像与信号处理,2016,5(3):121-146.ZHANG Huina,LI Yumei.An Overview and Research Perspective of Local Binary Pattern[J].Journal of Image and Signal Processing,2016,5(3):121-146.
[23]OJALA T,PIETIKINEN M,MENPT.Multiresolution Gray-scale and Rotation Invariant Texture Classification with Local Binary Patterns[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(7):971-987.
[24]HARALICK R M,SHANMUGAM K,DINSTEIN I.Textural Features for Image Classification[J].IEEE Transactions on Systems,Man,and Cybernetics,1973,SMC-3(6):610-621.
[25]单娜,郑天垚,王贞松.快速高准确度云检测算法及其应用[J].遥感学报,2009,13(6):1138-1155.SHAN Na,ZHENG Tianyao,WANG Zhensong.Highspeed and High-accuracy Algorithm for Cloud Detection and Its Application[J].Journal of Remote Sensing,2009,13(6):1138-1155.
[26]曹琼,郑红,李行善.一种基于纹理特征的卫星遥感图像云探测方法[J].航空学报,2007,28(3):661-666.CAO Qiong,ZHENG Hong,LI Xingshan.A Method for Detecting Cloud in Satellite Remote Sensing Image Based on Texture[J].Acta Aeronautica et Astronautica Sinica,2007,28(3):661-666.
[27]DERRIEN M,LE GLAU H.MSG/SEVIRI Cloud Mask and Type from SAFNWC[J].International Journal of Remote Sensing,2005,26(21):4707-4732.