Results 21 to 30 of about 157 (131)

Pansharpening with the Multidirection Tree Ridgelet Dictionary

Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022
In this work, we propose a novel pansharpening method based on the multidirection tree ridgelet dictionary. A pansharpened image has a wide‐ranging application area, such as object detection, image segmentation, feature extraction, and so on. Remote sensing (RS) imagery contains more abundant information on surface features.
Hong Li, Gaining Han, Zongsheng Wu, Xiaoxue Song, Wen-Tsao Pan   +4 more
wiley   +1 more source

[Retracted] Artificial Neural Network in Classification of Multisource Remote Sensing Images

International Transactions on Electrical Energy Systems, Volume 2022, Issue 1, 2022., 2022
How to solve multi‐category image recognition and meet a certain accuracy is a key issue in the research of high‐resolution remote sensing images, and it is of great significance. This article mainly studies artificial neural network in the classification of multi‐source remote sensing images.
Li Feng, Weiling Liao, Jiawei Pang, Ronghao Hu, Lei Feng, Raghavan Dhanasekaran   +5 more
wiley   +1 more source

[Retracted] Application of High‐Resolution Face Recognition and EDF Image Reconstruction in English Classroom Teaching

Security and Communication Networks, Volume 2022, Issue 1, 2022., 2022
This study examines classroom monitoring in order to increase the effectiveness of English classroom instruction. This article uses high‐resolution algorithms and EDF image reconstruction technology in the English classroom education system to improve the high resolution of students’ faces.
Shaofang He, Wenjuan Zhang, Muhammad Arif   +2 more
wiley   +1 more source

Curvelets and Ridgelets [PDF]

, 2009
Glossary WT1D The one-dimensional Wavelet Transform as defined in [1]. See also [2] in this volume. WT2D The two-dimensional Wavelet Transform. Discrete Ridgelet Trasnform (DRT) The discrete implementation of the continuous Ridgelet transform. Fast Slant Stack (FSS) An algebraically exact Radon transform of data on a Cartesian grid.
Fadili, Jalal M., Starck, Jean-Luc
openaire   +3 more sources

Robust Watermarking Algorithm against the Geometric Attacks based on Non‐Subsampled Shearlet Transform and Harris‐Laplace Detector

Security and Communication Networks, Volume 2022, Issue 1, 2022., 2022
With the rapid spread of network information, the information maintenance has become the focus of information security on networks. Digital watermarking is one of the effective methods to protect information security, achieve anticounterfeiting traceability, and protect copyright, and it is an important branch of information hiding technology. However,
Ling Zhou, Mei-Juan Zuo, Hao Shi, Ye Zhang, Li-Hua Gong, Zhengyu Zhu   +5 more
wiley   +1 more source

Clifford‐Valued Shearlet Transforms on Cl(P,Q)‐Algebras

Journal of Mathematics, Volume 2022, Issue 1, 2022., 2022
The shearlet transform is a promising and powerful time‐frequency tool for analyzing nonstationary signals. In this article, we introduce a novel integral transform coined as the Clifford‐valued shearlet transform on Cl(p,q) algebras which is designed to represent Clifford‐valued signals at different scales, locations, and orientations. We investigated
Firdous A. Shah, Aajaz A. Teali, Mawardi Bahri, Francisco J. Garcia Pacheco   +3 more
wiley   +1 more source

A Comparative Study among Handwritten Signature Verification Methods Using Machine Learning Techniques

Scientific Programming, Volume 2022, Issue 1, 2022., 2022
Nowadays, the verification of handwritten signatures has become an effective research field in computer vision as well as machine learning. Signature verification is naturally formulated as a machine‐learning task. This task is performed by determining if the signature is genuine or forged.
Zainab Hashim, Hanaa M. Ahmed, Ahmed Hussein Alkhayyat, Punit Gupta   +3 more
wiley   +1 more source

Scale-discretised ridgelet transform on the sphere [PDF]

2019 27th European Signal Processing Conference (EUSIPCO), 2019
5 pages, 4 figures, matches version accepted by EUSIPCO, code available at http://www.s2let ...
Jason D. McEwen, Matthew A. Price
openaire   +2 more sources

A Comprehensive Survey on Concrete Crack Detection

Shock and Vibration, Volume 2026, Issue 1, 2026.
Concrete structures form the backbone of modern civil infrastructures, yet they are inherently susceptible to cracking over time due to mechanical stress, environmental exposure, and aging. Undetected cracks can escalate into catastrophic structural failures, making timely inspection critical.
Md. Siam Ansary, José J. Rangel-Magdaleno   +1 more
wiley   +1 more source

Hybrid Radiomics and Machine Learning for Brain Tumors Multi‐Task Classification: An Exploratory Study on Integrating GLCM and Curvelet‐Based Features for Enhanced Accuracy

Health Science Reports, Volume 8, Issue 8, August 2025.
ABSTRACT Background and Aims Accurate classification of brain tumors is vital for effective treatment planning. Manual assessment of magnetic resonance imaging (MRI) scans is often subjective and time‐consuming. This exploratory study proposes a machine learning approach integrating radiomic features from contrast‐enhanced T1‐weighted MRI scans to ...
Mostafa Jafari, Masoumeh Rahmani, Sanaz Alibabaei, Jafar Fatahiasl, Sasan Razmjoo, Mohammad Javad Tahmasebi Birgani, Marziyeh Tahmasbi   +6 more
wiley   +1 more source