Results 121 to 130 of about 779,839 (204)

Brinjal leaf diseases detection based on discrete Shearlet transform and Deep Convolutional Neural Network. [PDF]

PLoS One, 2023
Abisha S, Mutawa AM, Murugappan M, Krishnan S.   +3 more
europepmc   +1 more source

An Image Fusion Method of SAR and Multispectral Images Based on Non-Subsampled Shearlet Transform and Activity Measure. [PDF]

Sensors (Basel), 2022
Huang D, Tang Y, Wang Q.
europepmc   +1 more source

Local spatio-temporal representation using the 3D shearlet transform

, 2017
In this work we address the problem of analyzing video sequences and representing meaningful space-time points of interest. We base our work on the 3D shearlet transform.
Odone, Francesca, De Vito, Ernesto, Ernesto De Vito, Malafronte, Damiano, Francesca Odone, Damiano Malafronte   +5 more
core   +1 more source

Multicomponent microseismic data denoising by 3D shearlet transform

, 2018
The low-magnitude microseismic signals generated by fracture initiation are generally buried in strong background noise, which complicates their interpretation. Thus, noise suppression is a significant step. We have developed an effective multicomponent,
Mirko van der Baan, Chao Zhang
core   +1 more source

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