Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2011-03-25
IJCA,Special Issue on RTIPPR (2):76-82, 2010. Published By Foundation of Computer Science
Computer Science
Computer Vision and Pattern Recognition
07 page, 13 figures
Scientific paper
In this paper, we study efficient and reliable automatic extraction algorithm to find out the open space area from the high resolution urban satellite imagery, and to detect changes from the extracted open space area during the period 2003, 2006 and 2008. This automatic extraction and change detection algorithm uses some filters, segmentation and grouping that are applied on satellite images. The resultant images may be used to calculate the total available open space area and the built up area. It may also be used to compare the difference between present and past open space area using historical urban satellite images of that same projection, which is an important geo spatial data management application.
Hiremath P. S.
Kodge B. G.
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