DocumentCode :
315110
Title :
Congestion data acquisition using high resolution satellite imagery and frequency analysis techniques
Author :
Kim, Kyong-Ho ; Lee, Jong-Hun ; Lee, Bong Gyou
Author_Institution :
Dept. of Image Process., Syst. Eng. Res. Inst., Taejon, South Korea
Volume :
1
fYear :
1997
fDate :
3-8 Aug 1997
Firstpage :
331
Abstract :
The purpose of this study is to examine a method of traffic congestion data collection using scanned high resolution panchromatic imagery acquired from satellite. The existing traffic monitoring systems including manual and automatic vehicle recording technologies have several limitations in terms of accuracy and spatial coverage ranges. In this paper, traffic information is achieved by frequency analysis techniques from the segmented bridge and/or road images. Especially, the study simulated digital images by fast Fourier transform (FFT) and applied the technique to different two cases in terms of un-clustered vehicles and clustered vehicles
Keywords :
fast Fourier transforms; image processing; image segmentation; remote sensing; road traffic; traffic recording; FFT; clustered vehicles; congestion data acquisition; fast Fourier transform; frequency analysis; high resolution satellite image; image segmentation; land surface; measurement technique; multispectral remote sensing; optical imaging; remote sensing; road image; road traffic monitoring method; scanned high resolution panchromatic imagery; simulated digital image; traffic congestion data collection; unclustered vehicles; vehicle recording; Computerized monitoring; Data acquisition; Frequency; Image analysis; Image resolution; Manuals; Satellites; Spatial resolution; Traffic control; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
Type :
conf
DOI :
10.1109/IGARSS.1997.615877
Filename :
615877
Link To Document :
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