数字正射影像镶嵌的质量评价方法
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摘要
针对数字正射影像镶嵌结果的质量评价,提出了一种基于缓冲区影像的、兼顾辐射一致性和几何一致性指标的定量评价方法.首先以镶嵌线为中心建立缓冲区,分别从镶嵌线对应的左右影像中提取缓冲区影像,然后以此为基础进行质量评价指标的计算,其中辐射一致性评价采用灰度反差系数及统一亮度分布等指标,几何一致性评价采用加速鲁棒特征(speeded-up robust features,SURF)匹配点的偏移距离等指标,从而得到镶嵌质量的评价结果.分别采用德国Vaihingen地区的36幅城区正射影像和中国湖北省恩施地区的36幅山区正射影像为实验数据集,对由Arc GIS、Ortho Vista和DPGrid 3种商业软件得到的影像镶嵌结果进行了质量评价,验证了该方法的有效性.
For the quality evaluation of the Digital Orthophoto mosaic, a quantitative evaluation method, which is based on the buffer images and includes both the radiometric consistency and geometric consistency indexes, is presented in this paper. Firstly, the buffer zones are built around the seamline, and the buffer images are obtained from the left and right images corresponding to the seamline. Then based on this, the quality evaluation indexes can be calculated, among them, the radiometric consistency is mainly evaluated by the indexes of the gray contrast coefficient and the Uniform Intensity-Distribution,the geometric consistency is mainly evaluated by using the offset distance of the SURF(speeded-up robust features) feature matching points. Finally, the evaluation results of mosaic quality are obtained. Using 36 urban orthophotos of the Vaihingen area of Germany and 36 mountain orthophotos of the Enshi area of China as an experiment data set,the quality evaluation was carried out for the mosaic results respectively obtained by three business softwares of Arc GIS, Ortho Vista and DPGrid, which verifies the effectiveness of the proposed method.
For the quality evaluation of the Digital Orthophoto mosaic, a quantitative evaluation method, which is based on the buffer images and includes both the radiometric consistency and geometric consistency indexes, is presented in this paper. Firstly, the buffer zones are built around the seamline, and the buffer images are obtained from the left and right images corresponding to the seamline. Then based on this, the quality evaluation indexes can be calculated, among them, the radiometric consistency is mainly evaluated by the indexes of the gray contrast coefficient and the Uniform Intensity-Distribution,the geometric consistency is mainly evaluated by using the offset distance of the SURF(speeded-up robust features) feature matching points. Finally, the evaluation results of mosaic quality are obtained. Using 36 urban orthophotos of the Vaihingen area of Germany and 36 mountain orthophotos of the Enshi area of China as an experiment data set,the quality evaluation was carried out for the mosaic results respectively obtained by three business softwares of Arc GIS, Ortho Vista and DPGrid, which verifies the effectiveness of the proposed method.
引文
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[14]Wang D,Cao W,Xin X,Shao Q,Matthew B,Xiao J,Wan Y,Zhang Y.Using vector building maps to aid in generating seams for low-attitude aerial orthoimage mosaicking:advantages in avoiding the crossing of buildings[J].ISPRS Journal of Photogrammetry&Remote Sensing,2017,125:207-224.
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[17]余先川,裴文静.针对不同融合算法的质量评价指标性能评估[J].红外与激光工程,2012,41(12):3416-3422.Yu X C,Pei W J.Performance evaluation of image fusion quality metrics for the quality of different fusion methods[J].Infrared and Laser Engineering,2012,41(12):3416-3422.(in Chinese)
[2]Chandler D M,Hemami S S.VSNR:a wavelet-based visual signal-to-noise ratio for natural images[J].IEEE Transactions on Image Processing,2007,16(9):2284-2298.
[3]梁敏瑜.基于结构相似度与MTF的图像质量评价方法研究[D].南京:南京理工大学,2012.
[4]马东岭,丁宁,崔健,王京卫.基于蚁群算法优化正射影像镶嵌线[J].测绘科学,2013,38(2):117-118.Ma D L,Ding N,Cui J,Wang J W.Optimizing ortho-image mosaic seam line based on ant colony algorithm[J].Science of Surveying and Mapping,2013,38(2):117-118.(in Chinese)
[5]万国挺,王俊平,李锦,曹洪花,汪松,王乐,李亚宁,韦蓉.图像拼接质量评价方法[J].通信学报,2013(8):76-81.Wan G T,Wang J P,Li J,Cao H H,Wang S,Wang L,Li Y N,Wei R.Method for quality assessment of image mosaic[J].Journal on Communications,2013(8):76-81.(in Chinese)
[6]袁修孝,钟灿.一种改进的正射影像镶嵌线最小化最大搜索算法[J].测绘学报,2012,41(2):199-204.Yuan X X,Zhong C.An improvement of minimizing local maximum algorithm on searching seam line for orthoimage mosaicking[J].Acta Geodaetica et Cartographica Sinica,2012,41(2):199-204.(in Chinese)
[7]常嘉义,秦瑞,李庆,陈大鹏.全景鸟瞰拼接图像的质量评价方法[J].计算机科学,2014,41(6):278-281.Chang J Y,Qin R,Li Q,Chen D P.Image quality assessment of panoramic image[J].Computer Science,2014,41(6):278-281.(in Chinese)
[8]段梦梦.基于视差图的数字正射影像镶嵌线自动搜索及其质量评价方法研究[D].武汉:武汉大学,2015.
[9]Pang S,Sun M,Hu X,Zhang Z.SGM-based seamline determination for urban orthophoto mosaicking[J].ISPRS Journal of Photogrammetry&Remote Sensing,2016,112:1-12.
[10]Pan J,Wang M,Li J,Yuan S,Hu F.Region change rate-driven seamline determination method[J].ISPRS Journal of Photogrammetry&Remote Sensing,2015,105(8):141-154.
[11]Mills S,Mcleod P.Global seamline networks for orthomosaic generation via local search[J].ISPRS Journal of Photogrammetry&Remote Sensing,2013,75(328):101-111.
[12]Chon J,Kim H,Lin C S.Seam-line determination for image mosaicking:a technique minimizing the maximum local mismatch and the global cost[J].ISPRS Journal of Photogrammetry&Remote Sensing,2010,65(1):86-92.
[13]Pan J,Wang M,Ma D,Zhou Q,Li J.Seamline network refinement based on area voronoi diagrams with overlap[J].IEEE Transactions on Geoscience&Remote Sensing,2013,52(3):1658-1666.
[14]Wang D,Cao W,Xin X,Shao Q,Matthew B,Xiao J,Wan Y,Zhang Y.Using vector building maps to aid in generating seams for low-attitude aerial orthoimage mosaicking:advantages in avoiding the crossing of buildings[J].ISPRS Journal of Photogrammetry&Remote Sensing,2017,125:207-224.
[15]Yao H,Huseh M Y,Yao G,Liu Y.Image evaluation factors[C]//International Conference on Image Analysis and Recognition.Springer-Verlag,2005:255-262.
[16]李少毅,王晓田,杨开.改进的SURF彩色遥感图像配准算法[J].计算机测量与控制,2017,25(1):209-212.Li S Y,Wang X T,Yang K.An improved surf algorithm for color remote sensing image registration[J].Computer Measurement&Control,2017,25(1):209-212.(in Chinese)
[17]余先川,裴文静.针对不同融合算法的质量评价指标性能评估[J].红外与激光工程,2012,41(12):3416-3422.Yu X C,Pei W J.Performance evaluation of image fusion quality metrics for the quality of different fusion methods[J].Infrared and Laser Engineering,2012,41(12):3416-3422.(in Chinese)