A multi-scale study of airborne gamma ray measurements using bi dimensional empirical mode decomposition-a case study from Algeria
Abstract
The airborne Gamma Ray surveys aims at depicting radio element anomalies and understanding mineralizing system of the investigated area. This study presents a new approach to exploit the spectrometric data. It is based on the decomposition of the data into several sub-maps, components called intrinsic mode functions (IMFs) using the bi dimensional empirical mode decomposition method (2D EMD). Each component presents details at a specified scale. The EMD is a versatile technique that is appropriate to handle non-linear and non-stationary data. It allows performing a time-frequency analysis without the need of specifying a decomposition basis. Obtained results, from Algerian airborne gamma ray measurements, reveal this technique might be a powerful tool for highlighting and detecting the anomalies at different scales. Keywords: Bi dimensional Empirical mode decomposition (2D- EMD), Gamma ray data, Algeria
- Publication:
-
EGU General Assembly Conference Abstracts
- Pub Date:
- April 2019
- Bibcode:
- 2019EGUGA..2118568G