Application of edge detection to potential field data using eigenvalue analysis of structure tensor

Sertçelik İ., Kafadar Ö.

Journal of Applied Geophysics, cilt.84, ss.86-94, 2012 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 84
  • Basım Tarihi: 2012
  • Doi Numarası: 10.1016/j.jappgeo.2012.06.005
  • Dergi Adı: Journal of Applied Geophysics
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED)
  • Sayfa Sayıları: ss.86-94
  • Anahtar Kelimeler: Edge detection, Eigenvalue analysis, Potential field data, Structure tensor
  • Kocaeli Üniversitesi Adresli: Evet

Özet

One of the most important aims of potential field geophysicists is delineate the edges of subsurface structures. There are many methods based on horizontal and vertical derivative of potential field data for edge detection and enhancement. The structure tensor technique one of the image processing techniques is used to edge detection studies inmany scientific areas. In this paper, the technique was applied to potential field data and detected edges of the subsurface lineaments using its eigenvalue analysis. Based on noise-free and noisy synthetic data sets, the technique was tested and satisfactory results were obtained. The proposed method was applied on two real potential field datawhich are gravity data of Konya region and magnetic data of Eastern Anatolia Region in Turkey. These examples demonstrate that the technique provides beneficial information to geoscientists for determining the horizontal location of subsurface structures such as contacts, faults or various source bodies.