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LINEAMENT DETECTION FROM GRAVITY ANOMALY MAPS WITH THE GRADIENT HOUGH ALGORITHM IN ADAPAZARI BASIN

Yıl 2013, Cilt: 26 Sayı: 1, 25 - 35, 06.07.2013

Öz

As indicators of certain significant geological structural elements, linear anomalies are important in interpreting

gravity and magnetic anomalies. Lineaments are usually mapped by using improved data. Numerous algorithms

have been developed to automatize this process. This paper presents an integrated study of the Adapazari basin by

taking into consideration a set of gravity data and surface geology. Subsurface geological modeling is performed by

Hough transform (HT) based on gradient calculations as an image enhancement technique and an interpretation of

the gravity values including boundary analysis algorithms. Application of the gravity method to structural geology

helps shedding light on the local changes in the gravity gradient zones caused by density differences pertaining to

crustal structure and composition. Anomalies occurring in gradient zones are commonly expressed as potential-field

lineaments. The methods proposed to detect these discontinuities and boundaries corresponding to differences are

tested on synthetic data as the initial stage and the results obtained are satisfactory. As the second stage, they are

applied to the gravity anomaly map of the Adapazari basin and possible lineaments are automatically obtained. In

addition to provide supportive data, sediment thickness in the region is computed by using 3DINVER matlab program.

Automatic analysis results are compared to the major and minor faults depicted in the geological map of the study

area. The results demonstrate that automatic lineament detection depicts more fault traces than visual interpretation.

By combining the lineaments obtained with geological and supportive data, we try to introduce a new approach to

tectonic development for the study area.

These examples demonstrate that in detecting the geological features defined as major and minor faults, the Hough

algorithm can be used for qualitative interpretation of gravity anomaly maps.

Kaynakça

  • Zeng, H. Zhang, Q., and Liu, J., 1994, Location of secondary faults from cross-correlation of the second vertical derivative of gravity anomalies, Geophysical Prospecting 42, 841-854.
Toplam 1 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Makaleler
Yazarlar

Davut Aydogan Bu kişi benim

Yayımlanma Tarihi 6 Temmuz 2013
Yayımlandığı Sayı Yıl 2013 Cilt: 26 Sayı: 1

Kaynak Göster

APA Aydogan, D. (2013). LINEAMENT DETECTION FROM GRAVITY ANOMALY MAPS WITH THE GRADIENT HOUGH ALGORITHM IN ADAPAZARI BASIN. İstanbul Yerbilimleri Dergisi, 26(1), 25-35.
AMA Aydogan D. LINEAMENT DETECTION FROM GRAVITY ANOMALY MAPS WITH THE GRADIENT HOUGH ALGORITHM IN ADAPAZARI BASIN. İstanbul Yerbilimleri Dergisi. Temmuz 2013;26(1):25-35.
Chicago Aydogan, Davut. “LINEAMENT DETECTION FROM GRAVITY ANOMALY MAPS WITH THE GRADIENT HOUGH ALGORITHM IN ADAPAZARI BASIN”. İstanbul Yerbilimleri Dergisi 26, sy. 1 (Temmuz 2013): 25-35.
EndNote Aydogan D (01 Temmuz 2013) LINEAMENT DETECTION FROM GRAVITY ANOMALY MAPS WITH THE GRADIENT HOUGH ALGORITHM IN ADAPAZARI BASIN. İstanbul Yerbilimleri Dergisi 26 1 25–35.
IEEE D. Aydogan, “LINEAMENT DETECTION FROM GRAVITY ANOMALY MAPS WITH THE GRADIENT HOUGH ALGORITHM IN ADAPAZARI BASIN”, İstanbul Yerbilimleri Dergisi, c. 26, sy. 1, ss. 25–35, 2013.
ISNAD Aydogan, Davut. “LINEAMENT DETECTION FROM GRAVITY ANOMALY MAPS WITH THE GRADIENT HOUGH ALGORITHM IN ADAPAZARI BASIN”. İstanbul Yerbilimleri Dergisi 26/1 (Temmuz 2013), 25-35.
JAMA Aydogan D. LINEAMENT DETECTION FROM GRAVITY ANOMALY MAPS WITH THE GRADIENT HOUGH ALGORITHM IN ADAPAZARI BASIN. İstanbul Yerbilimleri Dergisi. 2013;26:25–35.
MLA Aydogan, Davut. “LINEAMENT DETECTION FROM GRAVITY ANOMALY MAPS WITH THE GRADIENT HOUGH ALGORITHM IN ADAPAZARI BASIN”. İstanbul Yerbilimleri Dergisi, c. 26, sy. 1, 2013, ss. 25-35.
Vancouver Aydogan D. LINEAMENT DETECTION FROM GRAVITY ANOMALY MAPS WITH THE GRADIENT HOUGH ALGORITHM IN ADAPAZARI BASIN. İstanbul Yerbilimleri Dergisi. 2013;26(1):25-3.