Abstract
The purpose of this work is to analyze the feasibility of using the wavelet transform in the edge detection of digital terrain models (DTM) obtained by Laser Scanner. The Haar wavelet transform and the edge detection method called Wavelet Transform Modulus Maxima (WTMM), both implemented in Matlab language, were used. In order to validate and verify the efficiency of WTMM, the edge detection of the same DTM was performed by the Roberts, Sobel-Feldman and Canny methods, chosen due to the wide use in the scientific community in the area of Image Processing and Remote Sensing. The comparison of the results showed superior performance of WTMM in terms of processing time.
Highlights
Edge detection of images and digital terrain models (DTM) obtained by Remote Sensing is an important research problem for mapping, especially in large scales (1:10,000 and larger), due to the need for greater detailing of the features and the large amount of digital data of the inputs used for these scales.The wavelet transform (WT) had its origin in 1909 with the work of Alfred Haar [1] [2] [3] [4], who described the first orthonormal function system and used it for multiscale analysis in his doctoral thesis
In order to validate and verify the efficiency of Wavelet Transform Modulus Maxima (WTMM), the edge detection of the same DTM was performed by the Roberts, Sobel-Feldman and Canny methods, chosen due to the wide use in the scientific community in the area of Image Processing and Remote Sensing
The Roberts, Sobel-Feldman, Canny and WTMM edge detectors were applied to the original DTM grid
Summary
Edge detection of images and digital terrain models (DTM) obtained by Remote Sensing is an important research problem for mapping, especially in large scales (1:10,000 and larger), due to the need for greater detailing of the features and the large amount of digital data of the inputs used for these scales. The wavelet transform (WT) had its origin in 1909 with the work of Alfred Haar [1] [2] [3] [4], who described the first orthonormal function system and used it for multiscale analysis in his doctoral thesis. The wavelet transform has been widely applied in the areas of knowledge that require analysis and visualization at different scales, which makes its proper use in image processing, digital terrain modeling, cartographic generalization and geoprocessing. We used the edge detection method called Wavelet Transform Modulus Maxima (WTMM), described by [8]
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