DocumentCode :
2320704
Title :
The utilization of SAR remote sensing and GIS technology to delineate urban extent in North China
Author :
Deng Biao ; Guo Huadong ; Nie Yueping
Author_Institution :
Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
fYear :
2009
fDate :
20-22 May 2009
Firstpage :
1
Lastpage :
5
Abstract :
Urban environments represent one of the most dynamic regions on earth. In order to obtain more frequently updated and spatially detailed data on urban phenomena, remote sensing satellites can serve as a valuable instrument. With its ability to image the Earth´s surface in nearly all weather conditions, together with its high spatial resolution, synthetic aperture radar (SAR) represents a very powerful observation tool for monitoring geophysical resources globally. SAR images with high resolution have proven their usefulness for land description and scene analysis. The goal of this study was the development of a temporally and spatially robust approach towards an automated identification of built-up areas based on RADARSAT imagery. In our work, the urban extent distributed in the major part of North China was extracted and delineated. By visual inspection, the resulting map of urban extent was acceptable.
Keywords :
feature extraction; geographic information systems; geophysical techniques; geophysics computing; image recognition; remote sensing by radar; synthetic aperture radar; Earth surface; GIS technology; North China; RADARSAT imagery; SAR remote sensing; automated built-up areas identification; geophysical resources monitoring; land description; scene analysis; urban environments; urban extent delineation; urban extent extraction; visual inspection; weather conditions; Condition monitoring; Earth; Geographic Information Systems; Image resolution; Instruments; Remote monitoring; Remote sensing; Satellites; Spatial resolution; Synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Urban Remote Sensing Event, 2009 Joint
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3460-2
Electronic_ISBN :
978-1-4244-3461-9
Type :
conf
DOI :
10.1109/URS.2009.5137600
Filename :
5137600
Link To Document :
بازگشت