一种城市高大地物阴影检测方法
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摘要
针对水体、偏蓝色地物会影响阴影检测精度这一问题,该文提出了一种基于WorldView-2影像的城市高大地物阴影检测方法。首先,在统计分析阴影及典型地物光谱值的基础上,对C1C2C3色彩不变空间中的C3分量利用直方图阈值法分割阴影区域和非阴影区域,分离后的阴影区域中包含了绿色植被信息;然后,利用多波段运算提取植被信息;其次,对最初的阴影植被混合区域和植被区域做逻辑差运算,得到目标阴影区域;最后,对阴影提取结果进行小区域去除和形态学滤波等后处理。实验结果表明,该方法针对WorldView-2影像具有普适性,能够有效避免水体、偏蓝色地物的影响,能够精确、快速地检测阴影区域。
In view of the problem that water and bluish surface features can effect the accuracy of shadow detection,a shadow detection method based on WorldView-2multispectral remote sensing images was proposed.Firstly,shaded areas and non-shaded areas were divided by histogram threshold method for C3 component in C1C2C3 invariant color space,and the shaded areas contained green vegetation information;secondly,the vegetation information was extracted by using multi-band operation based on counting and analysing shadow and spectral values of typical features;thirdly,the target shaded area was obtained based on difference computation between the zones containing shadow and vegetation area;finally,making post-processing for shadow extraction results,such as removal of small areas and morphological filtering.The results showed that this method was suitable for WorldView-2images,which could accurately and quickly detect the shaded area without the influence of water and bluish surface features.
In view of the problem that water and bluish surface features can effect the accuracy of shadow detection,a shadow detection method based on WorldView-2multispectral remote sensing images was proposed.Firstly,shaded areas and non-shaded areas were divided by histogram threshold method for C3 component in C1C2C3 invariant color space,and the shaded areas contained green vegetation information;secondly,the vegetation information was extracted by using multi-band operation based on counting and analysing shadow and spectral values of typical features;thirdly,the target shaded area was obtained based on difference computation between the zones containing shadow and vegetation area;finally,making post-processing for shadow extraction results,such as removal of small areas and morphological filtering.The results showed that this method was suitable for WorldView-2images,which could accurately and quickly detect the shaded area without the influence of water and bluish surface features.
引文
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[15]MA H,QIN Q,SHEN X.Shadow Segmentation and Compensation in High Resolution Satellite Images[C]//IEEE International Geoscience and Remote Sensing Symposium.2008,2:1036-1039.
[2]秦玉俊.Quickbird卫星影像的阴影检测及提取方法研究[D].长春:东北师范大学,2009.
[3]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):17-20.
[4]TSAI V J D.A Comparative Study on Shadow Compensation of Color Aerial Images in Invariant Color Models[C]//IEEE Transactions on Geoscience and Remote Sensing,2006,44(6):1661-1671.
[5]周家香,朱建军,张红亚.基于C1C2C3彩色不变特征的阴影检测与辐射恢复研究[J].工程勘察,2007(6).
[6]朱庆,徐胜华,韩李涛.基于D-S证据理论的彩色航空影像阴影提取方法[J].自动化学报,2007,33(6):588-595.
[7]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).
[8]CHUNG K L,LIN Y R,HUANG Y H.Efficient Shadow Detection of Color Aerial Images Based on Successive Thresholding Scheme[C]//IEEE Transactions on Geoscience and Remote Sensing,2009,47(2):671-682.
[9]FISHER S S,FRASER G.Intelligent Virtual Worlds Continue to Develop[J].Computer Graphics,1998,32(2):57-63.
[10]SALVADOR E,CAVALLARO A,EBRAHIMI T.Shadow Identification and Classification Using Invariant Color Models[C]//IEEE International Conference on Acoustics,Speech,and Signal Processing.IEEE,2001,3:1545-1548.
[11]SONG H,HUANG B,ZHANG K.Shadow Detection and Reconstruction in High-resolution Satellite Images via Morphological Filtering and Example-based Learning[C]//IEEE Transactions on Geoscience and Remote Sensing,2014,52(5):2545-2554.
[12]HUANG J J,XIE W X,TANG L.Detection of and Compensation for Shadows in Colored Urban Aerial Images[J].World Congress on Intelligent Control&Automation,2004,4:3098-3100.
[13]Fifth World Congress on Intelligent Control and Automation[C]//WCICA.Hangzhou,China:IEEE,2004:3098-3100.
[14]SARABANDI P,YAMAZAKI F,MATSUOKA M,et al.Shadow Detection and Radiometric Restoration in Satellite High Resolution Images[C]//Geoscience&Remote Sensing Symposium.igarss.Proceedings.IEEE International,2004,6:3744-3747.
[15]MA H,QIN Q,SHEN X.Shadow Segmentation and Compensation in High Resolution Satellite Images[C]//IEEE International Geoscience and Remote Sensing Symposium.2008,2:1036-1039.