LAUSR

Quaternionic curvelet transform

Sign Up to like & get
recommendations!
0 Published in 2017 at "Optik"

DOI: 10.1016/j.ijleo.2016.11.011

Abstract: Abstract In this paper, we extend the continuous curvelet transform to the space of quaternion valued functions using convolution. We prove that the quaternionic curvelet transform is consistent with the continuous curvelet transform of complex… read more here.

Keywords: curvelet transform; curvelet; quaternionic curvelet;

Mapping channel edges in seismic data using curvelet transform and morphological filter

Sign Up to like & get
recommendations!
0 Published in 2019 at "Journal of Applied Geophysics"

DOI: 10.1016/j.jappgeo.2018.11.004

Abstract: Abstract Mapping channel edges is a significant issue in 3D seismic data interpretation. In this research, curvelet transform was employed in channel edge enhancement, owing to its high ability to depict curve edges. The default… read more here.

Keywords: channel edges; seismic data; curvelet; edge ... See more keywords

High-precision seismic data reconstruction with multi-domain sparsity constraints based on curvelet and high-resolution Radon transforms

Sign Up to like & get
recommendations!
0 Published in 2019 at "Journal of Applied Geophysics"

DOI: 10.1016/j.jappgeo.2018.12.003

Abstract: Abstract In recent years, the sparsity-promoting reconstruction method based on the compressed sensing theory has been rapidly developed and applied to seismic data reconstruction. Many achievements have been made toward providing high-quality reconstruction by using… read more here.

Keywords: reconstruction; seismic data; radon; method ... See more keywords

Detection in seismic data using curvelet transform and tensor-based elliptical adaptive structuring elements

Sign Up to like & get
recommendations!
0 Published in 2020 at "Journal of Applied Geophysics"

DOI: 10.1016/j.jappgeo.2019.103881

Abstract: Abstract Channels are one of the vital issues in the exploration of oil and gas. They can be considered as reservoirs if they are filled with porous and permeable material and placed in a suitable… read more here.

Keywords: curvelet transform; curvelet; tensor; adaptive structuring ... See more keywords

Seismic resolution enhancement by the Curvelet transform

Sign Up to like & get
recommendations!
0 Published in 2021 at "Exploration Geophysics"

DOI: 10.1080/08123985.2021.1883405

Abstract: Zone A in Nanpu Sag of Bohai Bay has the characteristics of multiple provenances, multiple sedimentary systems, fast phase transition, many faults, a short fault distance, thin reservoirs and rapid lateral changes. At present, due… read more here.

Keywords: curvelet transform; resolution; resolution seismic; curvelet ... See more keywords

Weak Seismic Signal Enhancement Using Curvelet Transform and Compressive Sampling

Sign Up to like & get
recommendations!
2 Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3253930

Abstract: Conventional curvelet-domain denoising methods suppress random noise by thresholding the amplitude of curvelet coefficients, which makes it hard to distinguish weak seismic signals from random noise because they share the same characteristic of weak amplitude… read more here.

Keywords: random noise; seismic signal; curvelet; weak seismic ... See more keywords

Multiscale Dynamic Curvelet Scattering Network.

Sign Up to like & get
recommendations!
1 Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3223212

Abstract: The feature representation learning process greatly determines the performance of networks in classification tasks. By combining multiscale geometric tools and networks, better representation and learning can be achieved. However, relatively fixed geometric features and multiscale… read more here.

Keywords: scattering network; curvelet; multiscale dynamic; curvelet scattering ... See more keywords

An Intertwining of Curvelet and Linear Canonical Transforms

Sign Up to like & get
recommendations!
1 Published in 2020 at "Journal of Mathematics"

DOI: 10.1155/2020/8814998

Abstract: In this article, we introduce a novel curvelet transform by combining the merits of the well-known curvelet and linear canonical transforms. The motivation towards the endeavour spurts from the fundamental question of whether it is… read more here.

Keywords: curvelet transform; linear canonical; curvelet; novel curvelet ... See more keywords

Correlated-Weighted Statistically Modeled Contourlet and Curvelet Coefficient Image-Based Breast Tumor Classification Using Deep Learning

Sign Up to like & get
recommendations!
0 Published in 2022 at "Diagnostics"

DOI: 10.3390/diagnostics13010069

Abstract: Deep learning-based automatic classification of breast tumors using parametric imaging techniques from ultrasound (US) B-mode images is still an exciting research area. The Rician inverse Gaussian (RiIG) distribution is currently emerging as an appropriate example… read more here.

Keywords: classification; riig; curvelet; deep learning ... See more keywords