2D multiresolution automated system for detecting BSRs on seismic reflection images
作者: Perla Karina Barba-RojoSelene Solorza-CalderónAntonio González-FernándezMario González-Escobar
作者单位: 1Facultad de Ciencias, Universidad Autónoma de Baja California, Km.103 Carretera Tijuana-Ensenada, C.P. 22860, Ensenada B.C., Mexico
2División de Ciencias de la Tierra, CICESE, Carretera Ensenada-Tijuana No. 3918, Zona Playitas, C.P. 22860, Ensenada B.C., Mexico
刊名: Journal of Geophysics and Engineering, 2018, Vol.15 (6)
来源数据库: Institute of Physics Journal
DOI: 10.1088/1742-2140/aacadc
原始语种摘要: This work presents an automation system for detecting the presence of bottom-simulating reflectors (BSRs) and other reflectors parallel to the sea bottom in real seismograms. The system uses automatic gain control to aid the thresholding method for edge detection and segmentation to calculate the sea bottom curve. After preprocessing the seismic reflection images, 2D multiresolution analysis methodology was used to develop the automated pattern recognition system which detects BSRs and other parallel reflectors in a robust manner. Synthetic and real seismic images were used to evaluate the proposed methodology, which showed excellent results in both cases.
全文获取路径: IOP  (合作)

  • detecting 检测
  • automated 自动
  • thresholding 阈值
  • preprocessing 预处理
  • segmentation 分段
  • seismic 地震的
  • automatic 自动的
  • methodology 方法学
  • recognition 识别
  • system