Results 111 to 120 of about 1,095 (204)

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

Sparse representation and image classification with the shearlet transform

, 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   +1 more source

Edge analysis and identification using the continuous shearlet transform

, 2009
It is well known that the continuous wavelet transform has the ability to identify the set of singularities of a function or distribution f. It was recently shown that certain multidimensional generalizations of the wavelet transform are useful to ...
Labate, Demetrio, Lim, Wang-Q, Guo, Kanghui   +2 more
core   +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

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
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Hyperspectral image classification using non-subsampled shearlet transform

, 2017
: In this paper a new supervised classification method for hyperspectral image is introduced. In the proposed method first, 2D non-subsampled shearlet transform is applied to each spectral band of hyperspectral images.
Soleimanzadeh, Mohammad Reza, Karami Robati, Azam   +1 more
core  

Local Spatio-Temporal Representation Using the 3D Shearlet Transform (STSIP)

, 2017
In this work we address the problem of analyzing video sequences and of representing meaningful space-time points of interest by using the 3D shearlet transform.
D. Malafronte, F. Odone, E. De Vito
core  

A Novel Multi-Focus Image Fusion Method Using Shearlet Transform

, 2010
According to the different frequency areas decomposed by shearlet transform, the selection principles of the lowpass subbands and highpass subbands were discussed respectively.
Jia Zhao, Hui Sun, Li Lü
core   +1 more source

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

Comparing Undecimated Wavelet, Nonsubsampled Contourlet and Shearlet for Sar Images Despeckling

Majlesi Journal of Electrical Engineering
Synthetic Aperture Radar (SAR) images suffer of multiplicative speckle noise, which damages the radiometric resolution of SAR images and makes the data interpretation difficult.
Saeed Jafari, Sedigheh Ghofrani, M. Sheikhan   +2 more
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