Title :
Object-oriented extraction of urban impervious surface coverage
Author :
Ge, Xiaotian ; Lu, Xiaoping
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;
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
DOI :
10.1109/AIMSEC.2011.6010835
