Object-oriented extraction of urban impervious surface coverage

Author

Ge, Xiaotian ; Lu, Xiaoping

fYear

2011

fDate

8-10 Aug. 2011

Firstpage

4682

Lastpage

4685

Abstract

The urban impervious surface coverage is one of the criteria of a city´s eco-environment rating system and it is of great importance by using remote sensing image. Take the example of Jiaozuo by using the technology of Landsat multispectral remote sensing image and object-oriented classification method, this paper get results of urban impervious surface coverage through the means of multi-scale segmentation and characteristic extraction. The results of the experiment are stable and reliable, which can provide reference for the urbanization research.

Keywords

feature extraction; image classification; image segmentation; remote sensing; town and country planning; Jiaozuo; Landsat multispectral remote sensing image; characteristic extraction; city eco-environment rating system; multiscale segmentation; object-oriented classification method; object-oriented extraction; urban impervious surface coverage; urbanization research; Buildings; Cities and towns; Image color analysis; Image segmentation; Remote sensing; Shape; Stability analysis; impervious surface coverage; object-oriented; remote sensing image; urbanization;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on

Conference_Location

Deng Leng

Print_ISBN

978-1-4577-0535-9

Type

conf

DOI

10.1109/AIMSEC.2011.6010835

Filename

6010835