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Automatic Open Space Area Extraction and Change Detection from High Resolution Urban Satellite Images

Published on None 2010 by Hiremath P. S., Kodge B.G.
journal_cover_thumbnail

Recent Trends in Image Processing and Pattern Recognition
Foundation of Computer Science USA
RTIPPR - Number 2
None 2010
Authors: Hiremath P. S., Kodge B.G.
4628df00-565b-4c92-b0d5-21108df816fc

Hiremath P. S., Kodge B.G. . Automatic Open Space Area Extraction and Change Detection from High Resolution Urban Satellite Images. Recent Trends in Image Processing and Pattern Recognition. RTIPPR, 2 (None 2010), 76-82.

@article{
author = { Hiremath P. S., Kodge B.G. },
title = { Automatic Open Space Area Extraction and Change Detection from High Resolution Urban Satellite Images },
journal = { Recent Trends in Image Processing and Pattern Recognition },
issue_date = { None 2010 },
volume = { RTIPPR },
number = { 2 },
month = { None },
year = { 2010 },
issn = 0975-8887,
pages = { 76-82 },
numpages = 7,
url = { /specialissues/rtippr/number2/979-102/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Recent Trends in Image Processing and Pattern Recognition
%A Hiremath P. S.
%A Kodge B.G.
%T Automatic Open Space Area Extraction and Change Detection from High Resolution Urban Satellite Images
%J Recent Trends in Image Processing and Pattern Recognition
%@ 0975-8887
%V RTIPPR
%N 2
%P 76-82
%D 2010
%I International Journal of Computer Applications
Abstract

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.

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Index Terms

Computer Science
Information Sciences

Keywords

Automatic open space area extraction Image segmentation Feature extraction geo spatial data and change detection