Title :
Database construction of urban land-cover information using RS and GIS
Author :
Chengfan Li ; Wei Liu ; Jingyuan Yin
Author_Institution :
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
Abstract :
Remote sensing technology can obtain the urban land cover information quickly and accurately, and it has been widely used in the urban development. In view of the information extraction present in high resolution remote sensing image and database construction characteristics, in this paper, the Google Earth image is data source, an object-oriented method including image segmentation, feature space optimization and the fuzzy classification rules are proposed to extract the urban land-cover information. The precision of the extraction information is 94.17% and Kappa coefficient is 0.8302. The format of urban land-cover information was changed from raster to vector, then which was transferred to GIS software to construct the database. The results show that it has proved the feasibility and practicability to extract the urban land cover information from the high resolution remote sensing images and construct database in the GIS software.
Keywords :
feature extraction; fuzzy set theory; geographic information systems; geophysical image processing; image classification; image resolution; image segmentation; land use planning; object-oriented methods; optimisation; remote sensing; visual databases; GIS software; Google Earth image; Kappa coefficient; RS image; data source; database construction; feature space optimization; fuzzy classification rules; geographic information system; high resolution remote sensing image; image segmentation; object-oriented method; urban development; urban land cover information extraction; Database Construction; Geographic Information System (GIS); Remote Sensing (RS); Urban Land-Cover;
Conference_Titel :
Smart and Sustainable City (ICSSC 2011), IET International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-84919-326-9
DOI :
10.1049/cp.2011.0282
