INFORMATION TECHNOLOGY FOR DIGITAL TERRAIN MODEL RECONSTRUCTION FROM STEREO IMAGES

被引:10
作者
Fursov, V. A. [1 ,2 ]
Goshin, Ye. V. [1 ]
机构
[1] Samara State Aerosp Univ, Russian Acad Sci, Image Proc Syst Inst, Samara, Russia
[2] Samara State Aerosp Univ, Super Comp & Gen Informat Sub Dept, Samara, Russia
关键词
stereoimages; image matching; digital terrain model; disparity map; conformed identification; fundamental matrix; epipolar geometry;
D O I
10.18287/0134-2452-2014-38-2-335-342
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
This paper considers an information technology of digital terrain model (DTM) reconstruction from the pair of stereo images. For the case when the camera parameters are known, image matching algorithms based on epipolar constraints are thoroughly considered. In the matching we use weight coefficients as a penalty function for distance from the matching point to the epipolar line. Implementation of the technology when cameras' parameters are not known is also considered. At the initial stage the problem of identification of the fundamental matrix from the corresponding points is solved. The major advantage of the proposed technology is the lack of the image rectification stage. This improves the reliability of the matching. The results of the proposed technology application for the DTM reconstruction from remote sensing stereo images are given.
引用
收藏
页码:335 / 342
页数:8
相关论文
共 19 条
  • [1] Baha N., 2011, INT J ARTIF INTELL A, V2, P22
  • [2] FORSYTH DA, 2004, COMPUTER VISION MODE
  • [3] Fursov V. A., 2013, Mechatronics, Automation, Control, P19
  • [4] Goshin E. V., 2012, Computer Optics, V36, P131
  • [5] Goshin Ye, 2013, P IMTA 4 2013, P29
  • [6] Gruzman I. S., 2002, DIGITAL IMAGE PROCES
  • [7] Haming K, 2007, ICINCO 2007: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL RA-2, P275
  • [8] Theory and practice of projective rectification
    Hartley, RI
    [J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 1999, 35 (02) : 115 - 127
  • [9] Triangulation
    Hartley, RI
    Sturm, P
    [J]. COMPUTER VISION AND IMAGE UNDERSTANDING, 1997, 68 (02) : 146 - 157
  • [10] Kuznesov P.K, 2008, TECHNICAL SCI SERIES, V2, P96