Results 51 to 60 of about 1,028 (168)

Active Seismic Exploration of Planetary Subsurfaces via Compressive Sensing

Earth and Space Science, Volume 12, Issue 3, March 2025.
Abstract Geophysical measurements, such as seismic experiments, are a key target for scientific activities on planetary surfaces. Dense spatial sampling of such measurements is often desirable, and acquisition is traditionally performed at regular intervals.
Jingchuan Wang, Nicholas C. Schmerr, Vedran Lekić, Jacob Giles, Linden Wike, Austin Hoyle, Ernest Robert Bell, Naoma McCall, Jacob A. Richardson, Patrick Whelley, John D. West, Shannon Rees, Casey Braccia, Caela Barry, Jose M. Hurtado, Tara Sweeney, Nohemi Valenzuela   +16 more
wiley   +1 more source

Recognition method of low-resolution coal-rock images based on curvelet transform

矿业科学学报, 2017
Considering the limitations of wavelet in image representation-that it is only optimal in representing point singularities and difficult to extract curve features of coal and rock images, a new recognition method for low-resolution coal-rock images based
Wu Yunxia, Zhang Hong
doaj  

Multimodal Biometrics: A Review of Handcrafted and AI–Based Fusion Approaches

IET Biometrics, Volume 2025, Issue 1, 2025.
As security threats continue to evolve, multimodal biometric recognition systems (MBRSs) have emerged as robust solutions for reliable user authentication. To the best of our knowledge, this study presents the first systematic literature review (SLR) specifically focused on MBRS based on physiological traits, combining traditional image processing ...
Hind Es-Sobbahi, Mohamed Radouane, Khalid Nafil, Vincenzo Conti   +3 more
wiley   +1 more source

Multiresolution Analysis Using Wavelet, Ridgelet, and Curvelet Transforms for Medical Image Segmentation

International Journal of Biomedical Imaging, 2011
The experimental study presented in this paper is aimed at the development of an automatic image segmentation system for classifying region of interest (ROI) in medical images which are obtained from different medical scanners such as PET, CT, or MRI ...
Shadi AlZubi, Naveed Islam, Maysam Abbod
doaj   +1 more source

An integrated scheme to improve pan-sharpening visual quality of satellite images

Egyptian Informatics Journal, 2015
Pan-sharpening is the process to fuse a low-resolution multispectral (MS) image with a high-resolution panchromatic (Pan) image to construct high spatial and spectral resolution MS image.
A.K. Helmy, Gh.S. El-Tawel
doaj   +1 more source

Detection and Characterisation of Atypical Harmonic Patterns in Big Power Quality Data

IET Generation, Transmission &Distribution, Volume 19, Issue 1, January/December 2025.
This paper proposes a new algorithm to identify and assess properties of atypical harmonic patterns in long‐term monitoring data adaptively. The well‐known challenges of field application, such as data accuracy validation, missing data handling, adaptability to dynamic data nature (seasonality and trends), and data mining results interpretation, are ...
Olga Zyabkina, Max Domagk, Jan Meyer, Peter Schegner, Marco Lindner, Heiko Mayer, Christoph Butterer   +6 more
wiley   +1 more source

Rollover Mechanism Methodology of LNG Tank with Gas-Liquid Stratification Based on Curvelet Finite Element Method and Large Eddy Simulation Technology

Journal of Applied Fluid Mechanics, 2018
The rollover phenomenon of LNG tank has great threat to secure storage of LNG, therefore the Curvelet finite element method combing the large eddy simulation technology to analyze the rollover mechanism.
B. Zhao, S. Han, L. Xu, C. Shi, D. Gao, Y. D. Zhang   +5 more
doaj  

Local energy‐based multimodal medical image fusion in curvelet domain

IET Computer Vision, 2016
Various multimodal medical images like computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography, single photon emission CT and structural MRI have different characteristics and carry different types of complementary ...
Richa Srivastava, Om Prakash, Ashish Khare   +2 more
doaj   +1 more source

Sparse representation for restoring images by exploiting topological structure of graph of patches

IET Image Processing, Volume 19, Issue 1, January/December 2025.
To elevate sparse representation learning, this study leverages a graph learning model to delineate similarity relationships among image patches, utilizing this model for the initial image reconstruction phase. To capitalize on inter‐patch relationships while preserving individual patch characteristics, low‐rank constraints are integrated during the ...
Yaxian Gao, Zhaoyuan Cai, Xianghua Xie, Jingjing Deng, Zengfa Dou, Xiaoke Ma   +5 more
wiley   +1 more source

An Unsupervised Image Enhancement Method Based on Adaptation Region Divisions

IET Image Processing, Volume 19, Issue 1, January/December 2025.
This paper proposes an image enhancement method that combines traditional techniques with deep learning. It converts images to Lab color space, calculates texture complexity, adaptation region divisions and uses a convolutional autoencoder for noise reduction.
Kaijun Zhou, Weiyi Yuan, Yemei Qin
wiley   +1 more source