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基于多源数据融合的平面目标前视模板制备 被引量:3

Forward looking template preparation of flat target based on multi-sources data fusion
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摘要 基于多源数据融合思想,提出了一种平面目标前视模板制备新方法。算法首先将DSM数据与正射影像图配准融合,提取平面目标三维地形数据,然后对目标进行三维形状重构,最后根据给定的飞行航迹,利用透视投影成像模型完成模板制备。算法解决了单像素边缘成像断裂和虚假边缘去除的问题。大量实测数据的实验结果表明,本文方法有效地实现了平面目标前视模板的制备。 Based on multi-sources data fusion, a novel method of forward looking template preparation for the flat target is proposed. Firstly, the 3D terrain data of the flat target are extracted based on the registration and fusion of DSM data and Ortho-photo image. Secondly,3D shape of the target is reconstructed. Finally, the template preparation is comple- ted using perspective projection imaging model according to a given flight path. It can solve the problems of false edge removal and fracture when the single-pixel edge is imaged. Large amount of measured data from experiment show that the proposed method can effectively realize forward looking template preparation for planar target.
出处 《激光与红外》 CAS CSCD 北大核心 2013年第2期217-220,共4页 Laser & Infrared
关键词 模板制备 平面目标 DSM 正射影像图 数据融合 template preparation flat target DSM remote sensing image data fusion
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  • 1江标初,陈映鹰.层次景象匹配区选取准则[J].同济大学学报(自然科学版),2007,35(6):830-833. 被引量:13
  • 2李旭辉,李俊山,焦康.一种基于边缘密度与自匹配系数的匹配区选取准则[J].电光与控制,2007,14(5):82-85. 被引量:4
  • 3杨兵,刘永才,田金文,马春红,郭勤,付宏明.基于新的加权Hausdorff距离的图像匹配[J].红外与激光工程,2007,36(5):751-753. 被引量:6
  • 4廉蔺. 红外与可见光遥感图像自动配准算法研究 [D]. 长沙: 国防科学技术大学, 2012.
  • 5QIN Y M,CAO ZH G,ZHUO W. An automatic DSM and remote sensing images registration scheme using template matching technique. MIPPR2011. Proc. of SPIE,8004:80040P.
  • 6MYRONENKO A, SONG X. Point set registration: Coherent Point Drift [J]. IEEE Trans. Pattern Anal. Mach. Intell., 2010, 32(12): 2262-2275.
  • 7HORAUD R, FORBES F, et al.. Rigid and articulated point registration with expectation conditional maximization [J]. IEEE Trans. Pattern Anal. Mach. Intell., 2011,33 (Compendex): 587-602.
  • 8BELONGIE S, MALIK J, PUZICHA J. Shape matching and object recognition using shape contexts [J]. IEEE Trans. Pattern Anal..Mach. Intell., 2002,24 (24):509-522.
  • 9HE X CH, YUNG N H. Corner detector based on global and local curvature properties[J]. Optical Engineering, 2008, 47(5):057008.
  • 10AWRANGJEB M,LU G J. Robust image corner detection based on the chord-to-point distance accumulation technique [J]. IEEE Trans. on Multimedia, 2008, 10(6):1059-1072.

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