Imaging & Integrated Interpretation of Gravity, Gravity Gradiometry, Magnetic, Seismic & Geologic Data
IMAGE ENHANCEMENTS
The main objective of enhancing measured gravity and magnetic images is to produce new images showing more details than the original images and thus they are more suitable for interpretation. Depending on the nature of the feature we would like to enhance, we select the most appropriate filter for the task. We make sure that the selected filter is able to enhance the feature of interest while suppressing the noise in the examines image.
List of selected techniques that we able to use:
- Fast fourier transform (FFT): High-pass, low-pass and band-pass filters.
- Matched filters.
- Continuous and discrete wavelet analysis.
- 1D/2D empirical mode decomposition (EMD).
- Continuation filters (Upward and downward).
- Wavelength separation filters.
- Trend surface analysis (Regional-residual separation).
- Derivative filters (First and second vertical derivative filters).
- Gradient based filters (Laplacian, SDGD, DoG, LoG, Roberts, Prewit, Sobel).
- Slope, aspect, tilt angle and theta filters.
- Monogenic signal analysis (Magnitude, phase and orientation).
- Gabor filtering (Magnitude and phase).
- Haralick GLCM texture analysis.
- Curvature analysis (Including geologic curvature and shape index curvature).
- Principle component analysis (PCA).
- Independent component analysis (ICA).
- Segmentation and classifications of gravity and magnetic images.
- 2D/3D Hessian based curvilinear structures detection.
- Eigen (Spectral) decomposition.
- Multiscale Laplacian, Gaussian and Steerable pyramids.
- 2D/3D structure tensor analysis.
- Image fusion.
