Results 1 to 10 of about 49,854 (268)

An Adaptive Signal Photon Detection Method Based on DBSCAN for Photon-Counting Laser Altimeter

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Photon-counting light detection and ranging is very sensitive to ambient interference, target features, and instrument performance, especially for long-distance detection of spaceborne laser altimeter and measurement of complex land-cover types with ...
Xiangfeng Liu, Zhenhua Wang, Wuzhong Yang, Shixian Chen, Fengxiang Wang, Xiaowei Chen, Weiming Xu, Rong Shu   +7 more
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Simultaneous Nonconvex Denoising and Unmixing for Hyperspectral Imaging

IEEE Access, 2019
Sparse hyperspectral unmixing aims at finding the sparse fractional abundance vector of a spectral signature present in a mixed pixel. However, there are several types of noise present in the hyperspectral images.
Taner Ince, Tugcan Dundar
doaj   +1 more source

Satellite Remote Sensing Grayscale Image Colorization Based on Denoising Generative Adversarial Network

Remote Sensing
Aiming to solve the challenges of difficult training, mode collapse in current generative adversarial networks (GANs), and the efficiency issue of requiring multiple samples for Denoising Diffusion Probabilistic Models (DDPM), this paper proposes a ...
Qing Fu, Siyuan Xia, Yifei Kang, Mingwei Sun, Kai Tan   +4 more
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Denoising-Based Turbo Compressed Sensing

IEEE Access, 2017
Turbo compressed sensing (Turbo-CS) is an efficient iterative algorithm for sparse signal recovery with partial orthogonal sensing matrices. In this paper, we extend the Turbo-CS algorithm to solve compressed sensing problems involving a more general ...
Zhipeng Xue, Junjie Ma, Xiaojun Yuan
doaj   +1 more source

A multiscale Bayesian approach to quantification and denoising of energy-dispersive x-ray data

Machine Learning: Science and Technology
Energy dispersive x-ray (EDX) spectrum imaging yields compositional information with a spatial resolution down to the atomic level. However, experimental limitations often produce extremely sparse and noisy EDX spectra.
Pau Torruella, Abderrahim Halimi, Ludovica Tovaglieri, Céline Lichtensteiger, Duncan T L Alexander, Cécile Hébert   +5 more
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Smooth dynamic T2* mapping in fMRI based on a novel, total variation-minimizing algorithm for efficient multi-echo BOLD time series denoising with high signal-to-noise and contrast-to-noise ratios

Frontiers in Neuroscience
IntroductionThis report deals with advanced processing of blood oxygenation-dependent (BOLD) functional magnetic resonance imaging (fMRI) signals. It does not address functional characteristics of the human cortex, such as functional connectivity.
Jan Michálek, Michal Mikl
doaj   +1 more source

Performance of a Deep Learning Reconstruction Method on Clinical Chest–Abdomen–Pelvis Scans from a Dual-Layer Detector CT System

Tomography
Objective: The objective of this study was to compare the performance and robustness of a deep learning reconstruction method against established alternatives for soft tissue CT image reconstruction.
Christopher Schuppert, Stefanie Rahn, Nikolas D. Schnellbächer, Frank Bergner, Michael Grass, Hans-Ulrich Kauczor, Stephan Skornitzke, Tim F. Weber, Thuy D. Do   +8 more
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Dual-Teacher Guided Denoising Distillation for Anomaly Detection

IEEE Access
Recently, knowledge distillation-based approaches have demonstrated efficacy in unsupervised anomaly detection. These methods typically compute pointwise feature discrepancies between teacher and student (T–S) to localize anomalies.
Ning Li, Ajian Liu, Chaohao Jiang, Suigu Tang, Yongze Li, Yanyan Liang   +5 more
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Denoising algorithm for coal mine image based on coupled partial differential equations

Gong-kuang zidonghua, 2013
In view of problems of high noise and low illumination of coal mine image under complicated circumstance in coal mine, the paper proposed a denoising algorithm for coal mine image based on coupled second-order and fourth-order partial differential ...
WANG Zhen-wei, FENG Jin, LU Zhao-lin
doaj   +1 more source

A Dual-Branch Speech Enhancement Model with Harmonic Repair

Applied Sciences
Recent speech enhancement studies have mostly focused on completely separating noise from human voices. Due to the lack of specific structures for harmonic fitting in previous studies and the limitations of the traditional convolutional receptive field ...
Lizhen Jia, Yanyan Xu, Dengfeng Ke
doaj   +1 more source