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质心法在航空影像框标定位中的应用 被引量:3

Application of centroid method to fiducial mark positioning of aerial photo
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摘要 航片框标定位的精度直接影响摄影测量测图的质量,传统的基于影像匹配的框标定位算法精度只能达到像素级。文中提出一种模板匹配与质心法相结合的航片框标定位方法,先利用模板匹配进行概略定位,再利用质心法进行框标点的精确定位,将精度提高到亚像素级。实验证明该方法可以有效地提高精度。 Precision of fiducial mark positioning of aerial photo directly affects the quality of the photogrammetric mapping, but precision of traditional algorithm based on image matching for fiducial mark positioning can only reach the pixel level. It presents an algorithm that integrates template matching and centroid method for fiducial mark positioning of aerial photo. After rough positioning byuse of template matching, the fiducial mark is precisely positioned with centroid method in order to improve the precision to the sub-pixel level. Experiments show that algorithm is effective.
出处 《测绘工程》 CSCD 2013年第5期71-74,共4页 Engineering of Surveying and Mapping
关键词 框标定位 模板匹配 质心法 内定向 fiducial mark positioning template matching centroid method interior orientation
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  • 1王志军,王红卫,秦志远.基于Hough变换的航片框标定位算法[J].测绘学院学报,2004,21(2):111-113. 被引量:3
  • 2李德仁,陈晓勇.数学形态学及其在二值影象分析中的应用[J].武汉测绘科技大学学报,1989,14(3):18-34. 被引量:19
  • 3徐怡,李龙澍,李学俊.基于粗糙熵和K-均值聚类算法的图像分割[J].华东理工大学学报(自然科学版),2007,33(2):255-258. 被引量:7
  • 4[1]Sohn Hong-Gyoo, Yun Kong-Hyun. Hough transform for interior orientation in digital photogrammetry[R]. In Deputy Director Team for National GIS.2000.
  • 5[2]Ayman Habib,Devin Kelley. New approach to solving matching problems in photogrammetry[R]. In Department of Civil and Environmental Engineering and Geodetic Science,2000.
  • 6Shortis M R, Clarke T A, Short T. A comparison of some techniques for the subpixel location of discrete target images[J]. SPIE, 1994,2350 : 239 - 250.
  • 7Sirkis J S. System response to automated grid metheds[J] . Optic Engineering, 1990, 29(12): 1485- 1493.
  • 8Clarke T A, Cooper M A R, Fryer J G. An estimator for the random error in subpixel target location and its use in the bundle adjustment[ A ]. Optical 3-D Measurements Techniques II[ C ]. Karlsruhe: Pub Wichmann, 1993. 161 - 168.
  • 9章毓晋.图像分割[M].北京:科学出版社,2001.34.
  • 10朱述龙.小波理论在图像处理中的应用[M].北京:解放军出版社,1999..

共引文献103

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  • 1周彩霞,匡纲要,宋海娜,易江义.用差影法与多模板匹配快速实现人脸检测[J].计算机应用研究,2004,21(5):197-199. 被引量:6
  • 2贺玲,吴玲达,蔡益朝.高维空间中数据的相似性度量[J].数学的实践与认识,2006,36(9):189-194. 被引量:20
  • 3胡坤,周富强,张广军.一种快速结构光条纹中心亚像素精度提取方法[J].仪器仪表学报,2006,27(10):1326-1329. 被引量:84
  • 4马国锐,李平湘,秦前清.基于融合和广义高斯模型的遥感影像变化检测[J].遥感学报,2006,10(6):847-853. 被引量:32
  • 5BOVOLO F.A multilevel parcel-based approach to change detection in very high resolution multitemporal images[J].IEEE Geoscience and Remote Sensing Letters,2009,6(1):33-37.
  • 6GONG J Y,SUI H G,MA G R,et al.A review of muiti-temporal remote sensing data change detection algorithm[J].The International Archives of the Photogrammetry,Remote Sensing and Spatial Information Sciences,2008(B7):757-762.
  • 7BRUZZONE L,PRIETO D F.An adaptive semiparametric and context-based approach to unsupervised change detection in multitemporal remote sensing images[J].IEEE Transactions on Image Processing,2002,11(4):452-466.
  • 8LI C H,LEE C K.Minimum cross entropy thresholding[J].Pattern Recognition,1993,26(4):617-625.
  • 9KULLBACK S.Information theory and statistic[M].New York:Wiley,1959.
  • 10GHOSH A,MISHRA N S,GHOSH S.Fuzzy clustering algorithms for unsupervised change detection in remote sensing images[J].Information Sciences,2011,181(4):699-715.

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