Use of the Two Dimensional Gabor Filter to Interpret Magnetic Data Over the Marmara Sea, Turkey

Sertçelik, İbrahim; Kafadar, Özkan

doi:10.1007/s00024-012-0587-0

Cited by 11 publications

(5 citation statements)

References 10 publications

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“…The two-dimensional Gabor filter was first proposed by Daugman in 1985 [15]. The Gabor filter is a band-pass filter with frequency and directional selectivity [17], which has excellent spatial localization and direction selectivity, and can acquire the spatial frequency of multiple directions and local structural features in the local area of image [16]. It can be regarded as the product of a Gaussian function and a sine plane wave [17].…”

Section: B Gabor Filtermentioning

confidence: 99%

“…The Gabor filter is a band-pass filter with frequency and directional selectivity [17], which has excellent spatial localization and direction selectivity, and can acquire the spatial frequency of multiple directions and local structural features in the local area of image [16]. It can be regarded as the product of a Gaussian function and a sine plane wave [17]. The two-dimensional Gabor transform belongs to the windowed Fourier transform, which essence is to conduct two-dimensional convolution using Gabor kernel function for the image.…”

Section: B Gabor Filtermentioning

confidence: 99%

“…The two-dimensional Gabor transform belongs to the windowed Fourier transform, which essence is to conduct two-dimensional convolution using Gabor kernel function for the image. The mathematical expression of two-dimensional Gabor kernel function is shown in formula (1 − 3) [17].…”

Section: B Gabor Filtermentioning

confidence: 99%

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A New Gabor Filter-Based Method for Automatic Recognition of Hatched Residential Areas

Wei

Yuan

et al. 2019

IEEE Access

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Extracting residential areas from historical raster topographic maps benefits to analyze land type change. The existing algorithms have the shortcomings including easily misidentifying objects and low positional accuracy of the identified boundary, so we have presented a new automatic recognition method based on Gabor filter for extracting residential areas from historical raster topographic maps. First, the method detected the hatched areas using Gabor filter, Gaussian smoothing, binarization, erosion, and an operation. Afterward, an endpoint of a hatched line on the top of the hatched areas was taken as the starting point, then tracing a boundary point of the residential area along a hatched line toward northeast 45 degrees direction using dynamic filling strategy. Second, an adjacent boundary point was traced according to the pixel value relation of eight neighborhoods by taking the first found boundary point as a starting point. In the tracking process, removing the noises using the pixel value relation of the neighboring pixels and the designed strip detector. Ultimately, the residential boundary was obtained. The experiments were carried out on the samples of three typical areas. The results showed that our method was effective and practical, and outperformed the previous methods in integrity and positional accuracy of the residential boundary.INDEX TERMS Residential areas recognition, raster map, Gabor filter, data mining, image processing.

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Section: B Gabor Filtermentioning

confidence: 99%

Section: B Gabor Filtermentioning

confidence: 99%

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A New Gabor Filter-Based Method for Automatic Recognition of Hatched Residential Areas

Wei

Yuan

et al. 2019

IEEE Access

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“…A bank of 2D Gabor filters, which are band-pass filters that are orientation-selective, are commonly used in image processing as a multi-channel approach to texture analysis (Randen and Husoy, 1999). Previous applications of Gabor filters to gridded magnetic data have focused on edge enhancement for interpreting lineaments (Holden et al, 2016;Sertcelik et al, 2013) and not groupings of magnetic rock package regions. We apply the methods of Jain and Farrokhnia (1991) to segment gridded aeromagnetic data into contrasting regions of texture and demonstrate how together with specific choices of geophysical filters these can be applied to automatically generate a geophysical domain map.…”

Section: Introductionmentioning

confidence: 99%

Imaging sedimentary basins from high-resolution aeromagnetics and texture analysis

Nathan¹,

Aitken²,

Holden³

et al. 2020

Computers & Geosciences

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“…To the contrary of the authors paying much attention to the problems such as determining Curie isotherm, mapping geologic contacts, faults, tectonic lineaments and seismogenic zones by applying some algorithms to the potential field data-sets (e.g. Albora, Uçan & Aydoğan, 2007;Ateş, Bilim, Büyüksaraç, & Bektaş 2008;Ateş et al, 2009Ateş et al, , 2003Aydoğan, 2007;Oruç & Keskinsezer, 2008;Sertçelik, Kafadar & Kurtuluş, 2013), no special investigation has been yet performed in the Biga Peninsula and its surrounding area which deals with the geophysical characteristics of the igneous rocks that occupy a considerably amount of areas in the Peninsula. Hence, to fill that gap, we attempted to investigate the igneous rocks of the Peninsula in some detailed framework by correlating the airborne magnetic anomalies with well-known mapped geology of the region.…”

Section: Introductionmentioning

confidence: 99%

A geophysical approach to the igneous rocks in the Biga Peninsula (NW Turkey) based on airborne magnetic anomalies: geological implications

Ekinci

Yi̇ği̇tbaş

2012

Geodinamica Acta

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The Biga Peninsula, the complex geological structure of which has attracted intense attention so far, is located in the north-western part of Anatolia, Turkey. The Peninsula is tectonically very important region where different tectonic zones meet and comprises various kinds of sedimentary, metamorphic and igneous rocks. Among these rocks, igneous rocks occupy a considerably amount of areas in the Biga Peninsula and they are mostly associated with geothermal systems and mineral deposits, and therefore they play an important role in the geology of the Peninsula. In this paper, derived results concerning the geological features and subsurface structures of the igneous rocks in the Peninsula are presented based on analyzing the airborne magnetic anomalies. To this end, a MATLAB-based toolkit named as Gravity and Magnetic Interpretation (GMINTERP) that is composed of a set of linked functions in conjunction with a graphical user interface was developed and used for the interpretation of the airborne magnetic anomalies. Some linear transformations and derivative-based techniques were performed to process the potential field data-set and also to help build a general understanding of the geological details. The close agreement between the derived geophysical anomaly maps and the well-known surface geology map of the Biga Peninsula helped us discuss the geological implications of the geophysical traces. This study also indicated that the developed interactive data processing toolkit may assist geological interpretation even in the areas whose subsurface structure is poorly known.

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Use of the Two Dimensional Gabor Filter to Interpret Magnetic Data Over the Marmara Sea, Turkey

Cited by 11 publications

References 10 publications

A New Gabor Filter-Based Method for Automatic Recognition of Hatched Residential Areas

A New Gabor Filter-Based Method for Automatic Recognition of Hatched Residential Areas

Imaging sedimentary basins from high-resolution aeromagnetics and texture analysis

A geophysical approach to the igneous rocks in the Biga Peninsula (NW Turkey) based on airborne magnetic anomalies: geological implications

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