Seamline detection in colour orthoimage mosaicking by use of twin snakes

被引:125
|
作者
Kerschner, M [1 ]
机构
[1] Vienna Univ Technol, Inst Photogrammetry & Remote Sensing, A-1040 Vienna, Austria
基金
奥地利科学基金会;
关键词
orthoimage mosaics; seamline detection; active contours; twin snakes; colour images;
D O I
10.1016/S0924-2716(01)00033-8
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
In the last step of the mosaic production chain. neighbouring and partly overlapping orthoimages of a scene are merged to one mosaic. This should be done in a way that the transition from one to another orthoimage cannot be seen. The production line of orthoimages consists of several steps, each of which can introduce a different appearance regarding geometry, radiometry and spectral properties to the resulting orthoimage. For mosaicking adjacent orthoimages. a path of lowest difference in a combination of criteria is searched in the overlap area of these images. The seamline is chosen along this path of maximum similarity. In this paper, criteria for such an optimal seamline in colour orthoimages are elaborated. The main requirements are on one hand high colour similarity of the images (mainly in hue and intensity), and on the other hand high texture similarity (in orientation and magnitude of image gradients). The specified criteria are formulated in the energy function of snakes. A snake is an active contour which moves through an image and changes its shape until a minimum of its energy function is found. We use two snakes that attract one another (twin snakes). In a hierarchical strategy, a proper seamline is delineated fully automatically. The potential of the method is shown with an example. (C) 2001 Elsevier Science B.V. Alt rights reserved.
引用
收藏
页码:53 / 64
页数:12
相关论文
共 41 条
  • [1] Edge-Enhanced Optimal Seamline Detection for Orthoimage Mosaicking
    Li, Li
    Yao, Jian
    Xie, Renping
    Li, Jie
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2018, 15 (05) : 764 - 768
  • [2] Optimal Seamline Detection for Orthoimage Mosaicking Based on DSM and Improved JPS Algorithm
    Chen, Gang
    Chen, Song
    Li, Xianju
    Zhou, Ping
    Zhou, Zhou
    [J]. REMOTE SENSING, 2018, 10 (06)
  • [3] AN IMPROVED ADAPTIVE ANT COLONY ALGORITHM FOR INTELLIGENT SEAMLINE DETECTION OF ORTHOIMAGE MOSAICKING
    Zhou, Guoqing
    Wang, Qingyang
    Jia, Bin
    Pan, Qiuyu
    Sha, Hongjun
    Liu, Xiaofan
    Huang, Shengxin
    Wang, Haoyu
    [J]. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 1320 - 1323
  • [4] Fast and intelligent seamline detection for orthoimage mosaicking based on minimum spanning tree
    Chen, Jiyi
    Xu, Biao
    Zhang, Li
    Ai, Haibin
    Du, Quanye
    [J]. Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2015, 44 (10): : 1125 - 1131
  • [5] Automated seamline detection in orthophoto mosaicking using improved snakes
    Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mappping, Beijing, 100830, China
    [J]. Int. Conf. Inf. Eng. Comput. Sci. - Proc., ICIECS,
  • [6] Seamline network generation based on foreground segmentation for orthoimage mosaicking
    Li, Li
    Tu, Jingmin
    Gong, Ye
    Yao, Jian
    Li, Jie
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2019, 148 : 41 - 53
  • [7] Seamline optimization based on ground objects classes for orthoimage mosaicking
    Pan, Jun
    Yuan, Shenggu
    Li, Junli
    Wu, Bin
    [J]. REMOTE SENSING LETTERS, 2017, 8 (03) : 280 - 289
  • [8] Seamline Determination for High Resolution Orthoimage Mosaicking Using Watershed Segmentation
    Wang, Mi
    Yuan, Shenggu
    Pan, Jun
    Fang, Liuyang
    Zhou, Qinghua
    Yang, Guopeng
    [J]. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2016, 82 (02): : 121 - 134
  • [9] Efficient Seamline Network Generation for Large-Scale Orthoimage Mosaicking
    Yang, Junxing
    Liu, Lulu
    Yan, Qingsong
    Deng, Fei
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [10] Efficient Seamline Network Generation for Large-Scale Orthoimage Mosaicking
    Yang, Junxing
    Liu, Lulu
    Yan, Qingsong
    Deng, Fei
    [J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19