Results 111 to 120 of about 762,837 (162)

GPR data noise attenuation based on the Shearlet transform

矿业科学学报, 2017
When using ground penetrating radar(GPR) to detect the underground target distribution, valid signal in receiving data tend to be susceptible to noise and the interference of air-ground waves, which will affect the accuracy of target recognition and ...
Zheng Jing, Yu Ke, Wang Pengyue, Jiang Shuqi, Teng Xingzhi   +4 more
doaj  

Analysis of Singularities and Edge Detection using the Shearlet Transform

, 2009
The continuous curvelet and shearlet transforms have recently been shown to be much more effective than the traditional wavelet transform in dealing with the set of discontinuities of functions and distributions.
Kanghui Guo, Demetrio Labate, Glenn Easley   +2 more
core  

Sparse representation and image classification with the shearlet transform [PDF]

, 2017
Classical 2D-wavelet transforms have suboptimal compression performance due to its inability to generate sparse representation of discontinuities along lines. This thesis contains investigations of the shearlet transform which in contrast to classical 2D-
Andersson, Robin
core  

A unified comparative framework for multiscale geometric transforms in SAR and multispectral satellite image analysis

Frontiers in Remote Sensing
Satellite image analysis is essential for remote sensing analysis. Two types of data are captured via satellite: Synthetic Aperture Radar (SAR) imagery (which has structure) and multispectral imagery (which contains spectral information), so ...
Sai Bhargav Kasetty, Rajakumar Krishnan
doaj   +1 more source

Radon transform intertwines shearlets and wavelets

, 2017
26 pages, 1 ...
Bartolucci, Francesca, De Mari, Filippo, De Vito, Ernesto   +2 more
openaire   +2 more sources

Efficient multiscale and multidirectional representation of 3D Data using the 3D discrete shearlet transform

, 2011
In recent years, there has been a lot of interest in multiresolution representations that also perform a multidirectional analysis. These representations often yield very sparse representation for multidimensional data. The shearlet representation, which
Van De Ville, Dimitrieditor, Goyal, Vivek Keditor, Papadakis, Manoseditor, Luong, HiepTW070019982255618010017490870000-0002-6246-5538F6C3B776-F0ED-11E1-A9DE-61C894A0A6B4, Philips, WilfriedTW078010007391760000-0003-4456-4353F4733938-F0ED-11E1-A9DE-61C894A0A6B4, Aelterman, JanTW070020021585098020002080790000-0002-5543-2631F91763EC-F0ED-11E1-A9DE-61C894A0A6B4, Goossens, BartTW070020013217808020000538890000-0002-1666-5483F86A9DE2-F0ED-11E1-A9DE-61C894A0A6B4, Pizurica, AleksandraCA05TW070019978443328010015804500000-0002-9322-4999F64D656C-F0ED-11E1-A9DE-61C894A0A6B4   +7 more
core   +2 more sources

Enhanced Offshore Wind Farm Geophysical Surveys: Shearlet-Sparse Regularization in Multi-Channel Predictive Deconvolution

Remote Sensing
This study introduces a novel multi-channel predictive deconvolution method enhanced by Shearlet-based sparse regularization, aimed at improving the accuracy and stability of subsurface seismic imaging, particularly in offshore wind farm site assessments.
Yang Zhang, Deli Wang, Bin Hu, Junming Zhang, Xiangbo Gong, Yifei Chen   +5 more
doaj   +1 more source

Characterization of Piecewise-Smooth Surfaces Using the 3D Continuous Shearlet Transform

, 2011
One of the most striking features of the Continuous Shearlet Transform is its ability to precisely characterize the set of singularities of multivariable functions through its decay at fine scales.
Kanghui Guo, Demetrio Labate
core  

Detecting Spatio-Temporally Interest Points Using the Shearlet Transform

, 2017
In this paper we address the problem of detecting spatio-temporal interest points in video sequences and we introduce a novel detection algorithm based on the three-dimensional shearlet transform.
Odone, Francesca, De Vito, Ernesto, Ernesto De Vito, Malafronte, Damiano, Francesca Odone, Damiano Malafronte   +5 more
core   +1 more source

Analysis and detection of surface discontinuities using the 3D continuous shearlet transform

, 2011
Directional multiscale transforms such as the shearlet transform have emerged in recent years for their ability to capture the geometrical information associated with the singularity sets of bivariate functions and distributions. One of the most striking
Kanghui Guo, Demetrio Labate, Labate, Demetrio, Guo, Kanghui   +3 more
core   +1 more source