Mountain Areas Extraction by Introduction of Wavelet Transform and Its Application to Ridge Lines Detection

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Abstract

Ridge lines are useful geometric feature for image analysis, in which mountain ridge lines are important in obtaining Digital Elevation Models (DEMs). This paper presents a wavelet-based method to detect mountain ridge lines for synthetic aperture radar (SAR) images. First, ridge lines of mountains as high frequency signals are emphasized by wavelet transform; then average variance judgement and histogram analysis, which are supplement of wavelet transform, are used to extract temporal mountain areas (MA) and final MA respectively; finally, Laplacian of Gaussian (LoG) filter is used to detect ridge lines in the final MA. The method is illustrated by 550×550 ERS-1/SAR data and satisfactory results are presented.

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