Title :
Residential areas extraction based on the spectral characteristics and GIS assistant information
Author :
Mingyang, Yu ; Fei, Meng ; Qiuxiao, Xu
Author_Institution :
Coll. of Civil Eng., Shandong Jianzhu Univ., Jinan, China
Abstract :
Residential areas are the gathering of human activities. It has great significance to master the spatial distribution information timely and accurately by RS in disaster assessment, urban expansion and environmental change research. In this paper, taking Longkou city as an example, we find corresponding models to quickly extract residential areas by studying the image features, spatial features and spatial relations, furthermore, we use the spectral characteristics and GIS information to build knowledge base for the extraction.
Keywords :
feature extraction; geographic information systems; knowledge acquisition; town and country planning; visual databases; GIS assistant information; Longkou city; disaster assessment; environmental change; human activities; image features; residential areas extraction; spatial distribution information; spatial features; spatial relations; spectral characteristics; urban expansion; Cities and towns; Humans; Vegetation; Residential areas; Spectral characteristics; knowledge base;
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6539-2
DOI :
10.1109/ICACTE.2010.5579375
