Contour analysis-based matching of ground objects in aerial images

被引：0
|
作者：
Yu. B. Blokhinov
V. A. Gorbachev
机构：
[1] Federal State Unitary Enterprise State Scientific Research Institute for Aviation Systems,
来源：
Journal of Computer and Systems Sciences International | 2011年 / 50卷
关键词：
Salient Feature; System Science International; Salient Point; Aerial Image; Left Image;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
An original approach to matching images is proposed based on the technique of comparison of the structure of contours. The technique for detecting contours is reinforced by combining the use of data from independent contours and contours that are the boundaries of regions. For this purpose, several assumptions and simple rules of general nature are formulated. Contours are identified based on local salient features of their one-dimensional representation. To avoid ambiguity in identifying contours, the technique of dynamic programming is harnessed. All computational procedures are invariant to image rotation. In conclusion the developed method is applied to the problem of matching image fragments in aerial images.
引用
收藏
页码：766 / 777
页数：11
相关论文
共 50 条
  • [31] Deep learning based dense matching for aerial remote sensing images
    Liu J.
    Ji S.
    Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2019, 48 (09): : 1141 - 1150
  • [32] TRANSIENT ELECTROMAGNETIC SCATTERING BY AERIAL AND GROUND OBJECTS
    Sukharevsky, O.
    Vasilets, V.
    2013 INTERNATIONAL KHARKOV SYMPOSIUM ON PHYSICS AND ENGINEERING OF MICROWAVES, MILLIMETER AND SUBMILLIMETER WAVES (MSMW), 2013, : 287 - 289
  • [33] Vision-Based Pose Estimation for Textureless Space Objects by Contour Points Matching
    Zhang, Xin
    Jiang, Zhiguo
    Zhang, Haopeng
    Wei, Quanmao
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2018, 54 (05) : 2342 - 2355
  • [34] Feature-Point Matching for Aerial and Ground Images by Exploiting Line Segment-Based Local-Region Constraints
    Chen, Min
    Fang, Tong
    Zhu, Qing
    Ge, Xuming
    Zhang, Zhanhao
    Zhang, Xin
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2021, 87 (10): : 767 - 780
  • [35] Focusing on Small Objects Detector in Aerial Images
    Zhang Z.
    Yi H.-H.
    Zheng J.
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2023, 51 (04): : 944 - 955
  • [36] Elitist Chemical Reaction Optimization for Contour-Based Target Recognition in Aerial Images
    Duan, Haibin
    Gan, Lu
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (05): : 2845 - 2859
  • [37] Template Matching of Aerial Images using GPU
    Nazneen, Nabigha
    Shafiq, Muhammad
    Hameed, Abdul
    2016 13TH INTERNATIONAL BHURBAN CONFERENCE ON APPLIED SCIENCES AND TECHNOLOGY (IBCAST), 2016, : 206 - 212
  • [38] A parallel method for matching of aerial images.
    Pissaloux, E
    LeCoat, F
    Bonnin, P
    Bezencenet, G
    Durbin, F
    INTELLIGENT ROBOTS AND COMPUTER VISION XV: ALGORITHMS, TECHNIQUES, ACTIVE VISION, AND MATERIALS HANDLING, 1996, 2904 : 75 - 81
  • [39] ROBUST MATCHING OF AERIAL IMAGES WITH LOW OVERLAP
    Mizotin, M.
    Krivovyaz, G.
    Velizhev, A.
    Chernyavskiy, A.
    Sechin, A.
    PCV 2010 - PHOTOGRAMMETRIC COMPUTER VISION AND IMAGE ANALYSIS, PT I, 2010, 38 : 13 - 18
  • [40] A Coarse-to-Fine Target Segmentation Algorithm of Aerial Insulator Images with Local Feature Matching and Active Contour Model
    Liao, Shenglong
    An, Jubai
    Mo, Hanxiang
    INTERNATIONAL CONFERENCE ON ELECTRICAL AND CONTROL ENGINEERING (ICECE 2015), 2015, : 491 - 496
12345