An investigation into the use of wavelets and scaling for the extraction of buildings in aerial images

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.