Results 201 to 210 of about 3,713 (248)

Sparse-Promoting 3-D Airborne Electromagnetic Inversion Based on Shearlet Transform

IEEE Transactions on Geoscience and Remote Sensing, 2022
The conventional, L2-norm-based, regularization term in electromagnetic (EM) inversions implements smooth constraints on model complexity in the space domain, which can smoothen the boundaries of complex underground structures.
Yang Su, C. Yin, Yunhe Liu, X. Ren, Bo Zhang, C. Qiu, B. Xiong, V. Baranwal   +7 more
semanticscholar   +1 more source

Infrared and Visible Image Fusion via Sparse Representation and Adaptive Dual-Channel PCNN Model Based on Co-Occurrence Analysis Shearlet Transform

IEEE Transactions on Instrumentation and Measurement
The principle of image fusion is to integrate complementary information of the heterogeneous images to obtain a fused image that is more in line with the visual effect of the human eyes. However, most decomposition methods cannot distinguish the textures
Biao Qi, Qiang Li, Yu Zhang, Qinglei Zhao, Bingxiang Qiao, Junxia Shi, Zengming Lv, Guoning Li   +7 more
semanticscholar   +1 more source

CT image denoising using multivariate model and its method noise thresholding in non-subsampled shearlet domain

Biomedical Signal Processing and Control, 2020
In today era, computed tomography (CT) is one of the exceptionally proficient crucial devices in medical science for the clinical reason. The consistent improvement and broad utilization of computed tomography in medical science has uplifted the ...
Manoj Diwakar, Prabhishek Singh
semanticscholar   +1 more source

Medical Image Fusion Method Based on Coupled Neural P Systems in Nonsubsampled Shearlet Transform Domain

International Journal of Neural Systems, 2020
Coupled neural P (CNP) systems are a recently developed Turing-universal, distributed and parallel computing model, combining the spiking and coupled mechanisms of neurons.
Bo Li, Hong Peng, Xiaohui Luo, Jun Wang, Xiaoxiao Song, M. Pérez-Jiménez, A. Riscos-Núñez   +6 more
semanticscholar   +1 more source

Regularized Full-Waveform Inversion With Shearlet Transform and Total Generalized Variation

IEEE Transactions on Geoscience and Remote Sensing
Full-waveform inversion (FWI) is a powerful method of reconstructing subsurface properties during seismic exploration. However, it is difficult for FWI to accurately describe a subsurface model with sharp surfaces and smooth variations because of the ...
Hanyang Wang, Siwei Yu
semanticscholar   +1 more source

3-D Airborne EM Inversion Based on Multiscale Correlation in Shearlet Domain

IEEE Transactions on Geoscience and Remote Sensing
Airborne electromagnetic (AEM) technology is an efficient geophysical exploration tool for investigating subsurface electrical structures. In recent years, 3-D inversion of AEM data has been developed rapidly, but it still faces challenges such as low ...
Yang Su, Luyuan Wang, Changchun Yin, Xianyang Huang, Yunhe Liu, Xiuyan Ren, Bo Zhang, Vikas Chand Baranwal   +7 more
semanticscholar   +1 more source

The shearlet transform and asymptotic behavior of Lizorkin distributions

Applicable Analysis
In this paper, we establish Abelian and Tauberian results that characterize the quasiasymptotic behavior of Lizorkin distributions via the asymptotic behavior of their shearlet transform.
Astrit Ferizi, K. Saneva
semanticscholar   +1 more source

Shearlet Features for Pedestrian Detection

Journal of Mathematical Imaging and Vision, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Adaptive Nonsubsampled Shearlet Transform and Its Application to Surface Wave Suppression

IEEE Transactions on Geoscience and Remote Sensing
This article proposes a new surface wave suppression method based on nonsubsampled Shearlet transform (NSST). First, we use a frequency wavenumber (FK) Filter to extract surface wave noise from seismic data. We then apply a Shearlet transform to both the
Shiqi Lv, Xiangbo Gong, Bin Hu, Zhuo Xu, Junming Zhang, Qiao Cheng   +5 more
semanticscholar   +1 more source

Multimodal Medical Image Sensor Fusion Model Using Sparse K-SVD Dictionary Learning in Nonsubsampled Shearlet Domain

IEEE Transactions on Instrumentation and Measurement, 2020
Multimodal medical image sensor fusion (MMISF) has a significant role for better visualization of the diagnostic statistics computed by integrating the vital information taken from input source images acquired using multimodal imaging sensors.
Sneha Singh, R. Anand
semanticscholar   +1 more source