Comparison of Extracting Rural Residential Area from Satellite Images with Multiresolution

Author

Yang, Cunjian ; Wang, Xiaoyan ; Huang, He

Volume

3

fYear

2008

fDate

7-11 July 2008

Abstract

Extracting rural residential area from satellite images with multi-resolution is compared here. Firstly, the multiresolution images covering Xindu district of Chengdu city of China such as CBERS images acquired in March 2005, Spot images acquired in April 2005, and Quickbird images acquired in June 2003 are geometrically corrected and registered by a lot of ground control points. Secondly, the multi-resolution images are enhanced in order to enhance the rural residential area information. Thirdly, the samples of rural residential area and its background are acquired from the images, and analyzed to discover the knowledge for extracting rural residential area. The rural residential areas are respectively extracted from CBERS images, SPOT images and Quickbird images by using the knowledge. Finally, the rural residential areas extracted from CBERS images, SPOT images and Quickbird images are compared by overlay and statistics analysis in the same region.

Keywords

feature extraction; geographic information systems; geophysics computing; image processing; remote sensing; statistical analysis; topography (Earth); AD 2003 06; AD 2005 03; AD 2005 04; CBERS image acquisition; Chengdu city; China; GIS software; Quickbird image acquisition; Spot image acquisition; Xindu district; extracting rural residential images; image enhancement; image geometrical correction; multiresolution satellite images; statistics analysis; Cities and towns; Data mining; Image analysis; Image resolution; Infrared imaging; Multiresolution analysis; Polynomials; Remote sensing; Satellites; Solid modeling; Rural residential area; multi-resolution; remote sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International

Conference_Location

Boston, MA

Print_ISBN

978-1-4244-2807-6

Electronic_ISBN

978-1-4244-2808-3

Type

conf

DOI

10.1109/IGARSS.2008.4779588

Filename

4779588