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Proceedings Paper

Automatic mosaicking method for large block of orthophotos
Author(s): Haibin Ai; Li Zhang; Lin Wang
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Paper Abstract

In order to mosaic neighboring and partly overlapping orthophotos of a scene into one large image, the paper proposes a large block orthophoto mosaicking method. In our method, seam lines firstly are delineated through overlap areas among orthophotos according to an optimal geometrical criterion. Then a network of mosaicking is built based on these delineated seam lines, and related topology information may be easily abstracted from the mosaicking network. In the second stage of our method, each seam line is optimized again by a modified snake algorithm. The algorithm makes every seam line meet the requirements of maximum color similarity of the images and maximum texture similarity. In order to searching an optimal seam line in a large overlap area as fast as possible, a hierarchical strategy is adapted. In that way, an optimized path through the overlap area is found, where the color and texture of the two images are similar. The still remaining jumps in hue and the differences in intensity and saturation have to be leveled by smooth interpolation in the vicinity of the seam line. After having processed all overlapping areas, a large block of orthophotos are automatically merged to a final large image.

Paper Details

Date Published: 5 December 2011
PDF: 8 pages
Proc. SPIE 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing, 800504 (5 December 2011); doi: 10.1117/12.899370
Show Author Affiliations
Haibin Ai, Chinese Academy of Surveying and Mapping (China)
Li Zhang, Chinese Academy of Surveying and Mapping (China)
Lin Wang, Chinese Academy of Surveying and Mapping (China)


Published in SPIE Proceedings Vol. 8005:
MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)

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