DocumentCode :
331812
Title :
An investigation into the use of wavelets and scaling for the extraction of buildings in aerial images
Author :
Levitt, Stephen ; Aghdasi, Farzin
Author_Institution :
Dept. of Electr. Eng., Univ. of the Witwatersrand, Johannesburg, South Africa
fYear :
1998
fDate :
7-8 Sep 1998
Firstpage :
133
Lastpage :
138
Abstract :
In this paper we examine the applicability of the wavelet transform and image scaling to the detection of buildings in monocular, greyscale aerial photography. Both of these techniques have strong frequency domain interpretations and thus differ from the traditional methods used in building extraction systems. Our results from employing the different techniques indicate that both the high and low frequency components of an aerial image offer useful information for the detection of buildings and other man-made features
Keywords :
feature extraction; image recognition; photography; remote sensing; wavelet transforms; aerial images; building extraction systems; buildings detection; frequency domain interpretations; high frequency components; image scaling; low frequency components; man-made features; monocular greyscale aerial photography; wavelets; Buildings; Computer vision; Detectors; Discrete wavelet transforms; Frequency domain analysis; Image edge detection; Image recognition; Image segmentation; Photography; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Signal Processing, 1998. COMSIG '98. Proceedings of the 1998 South African Symposium on
Conference_Location :
Rondebosch
Print_ISBN :
0-7803-5054-5
Type :
conf
DOI :
10.1109/COMSIG.1998.736936
Filename :
736936
Link To Document :
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