DocumentCode
748487
Title
Automatic Generation of Seamline Network Using Area Voronoi Diagrams With Overlap
Author
Pan, Jun ; Wang, Mi ; Li, Deren ; Li, Jonathan
Author_Institution
State Key Lab. of Inf. Eng. in Surveying, Wuhan Univ., Wuhan
Volume
47
Issue
6
fYear
2009
fDate
6/1/2009 12:00:00 AM
Firstpage
1737
Lastpage
1744
Abstract
The mosaicking of orthoimages has been used to cover a large geographic region for various applications ranging from environmental monitoring to disaster management. However, existing mosaicking methods mainly focus on the generation of seamlines between two adjacent orthoimages. In this paper, we present a novel approach based on the use of a seamline network formed by a novel area Voronoi diagrams with overlap and the use of effective mosaic polygons (EMPs) to define the pixels of each orthoimage for the final mosaic. The generated seamline network is global based and is also optimized after refinement. It gives an effective partitioning for the regions of all orthoimages to form EMPs. The partitioning is unique, seamless, and has no redundancy. The algorithm is parallel, and the EMP of each orthoimage only has relation to orthoimages which have overlaps with it. It can ensure the flexibility and efficiency of mosaicking, without an intermediate process and independent of the sequence of the image composite. The experimental results obtained from the mosaicking of 40 color orthoimages demonstrate considerable potential for generating a seamline network automatically and effectively. This is extremely useful when a seamless mosaic is required to cover a large geographic region.
Keywords
computational geometry; geophysical signal processing; image processing; area Voronoi diagrams; disaster management; effective mosaic polygons; environmental monitoring; orthoimages mosaicking; seamline network; Orthoimage mosaic; Voronoi diagrams; remote sensing; seamline network;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2008.2009880
Filename
4838848
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