Results 271 to 280 of about 2,969,604 (339)
Wavelet-Based Denoising Optimization for Endoscopic Gastric Slow-Wave Recordings. [PDF]
Healthc Technol LettTremain P +6 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Learning Double Subspace Representation for Joint Hyperspectral Anomaly Detection and Noise Removal
IEEE Transactions on Geoscience and Remote Sensing, 2023Efforts to enhance the detection accuracy of hyperspectral (HS) anomaly detection (AD) have been significant, but the impact of noise resulting from HS data acquisition and transmission has not been well studied.
Minghua Wang +5 more
semanticscholar +1 more source
IEEE Transactions on Neural Networks and Learning Systems, 2022
Hyperspectral image (HSI) qualities are limited by a mixture of Gaussian noise, impulse noise, stripes, and deadlines during the sensor imaging process, resulting in weak application performance.
Hongyu Chen, Guangyi Yang, Hongyan Zhang
semanticscholar +1 more source
Hyperspectral image (HSI) qualities are limited by a mixture of Gaussian noise, impulse noise, stripes, and deadlines during the sensor imaging process, resulting in weak application performance.
Hongyu Chen, Guangyi Yang, Hongyan Zhang
semanticscholar +1 more source
IEEE Transactions on Geoscience and Remote Sensing, 2022
Hyperspectral remote sensing images (HSIs) have been applied in urban planning, environmental monitoring, and other fields. However, they are susceptible to noise interference, such as Gaussian noise, stripe, and mixed noises, from various factors in the
Chengjun Wang +6 more
semanticscholar +1 more source
Hyperspectral remote sensing images (HSIs) have been applied in urban planning, environmental monitoring, and other fields. However, they are susceptible to noise interference, such as Gaussian noise, stripe, and mixed noises, from various factors in the
Chengjun Wang +6 more
semanticscholar +1 more source
IEEE Geoscience and Remote Sensing Letters, 2022
The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) is the world’s first satellite-borne photon-counting laser altimeter with unprecedented detection performance.
Guoping Zhang +6 more
semanticscholar +1 more source
The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) is the world’s first satellite-borne photon-counting laser altimeter with unprecedented detection performance.
Guoping Zhang +6 more
semanticscholar +1 more source
IEEE Transactions on Geoscience and Remote Sensing, 2022
Remote sensing images (RSIs) have been applied to many fields, such as environmental monitoring, urban planning, and military defense. All-day thermal infrared imaging observation system can finely portray the trajectory of human activities and provide ...
Jingwen Zhang +4 more
semanticscholar +1 more source
Remote sensing images (RSIs) have been applied to many fields, such as environmental monitoring, urban planning, and military defense. All-day thermal infrared imaging observation system can finely portray the trajectory of human activities and provide ...
Jingwen Zhang +4 more
semanticscholar +1 more source
RSUH/RGGU Bulletin. Series Information Science. Information Security. Mathematics, 2022
The article presents algorithms for removing extraneous noise from an audio track. It considers the features of various types of noise that occur during sound recording. The article takes into account the features of the Conv-TasNet architecture, which is based on the imposition of convolutions on a pure signal without frequency separation. There is an
Alexander A. Andreev +1 more
openaire +1 more source
The article presents algorithms for removing extraneous noise from an audio track. It considers the features of various types of noise that occur during sound recording. The article takes into account the features of the Conv-TasNet architecture, which is based on the imposition of convolutions on a pure signal without frequency separation. There is an
Alexander A. Andreev +1 more
openaire +1 more source
Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation
European Conference on Computer Vision, 2020Real-world image noise removal is a long-standing yet very challenging task in computer vision. The success of deep neural network in denoising stimulates the research of noise generation, aiming at synthesizing more clean-noisy image pairs to facilitate
Zongsheng Yue +3 more
semanticscholar +1 more source
Tensor Low-Rank Constraint and $l_0$ Total Variation for Hyperspectral Image Mixed Noise Removal
IEEE Journal on Selected Topics in Signal Processing, 2021Several methods based on Total Variation (TV) have been proposed for Hyperspectral Image (HSI) denoising. However, the TV terms of these methods just use various $l_1$ norms and penalize image gradient magnitudes, having a negative influence on the ...
Minghua Wang, Qiang Wang, J. Chanussot
semanticscholar +1 more source
Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization
IEEE Transactions on Geoscience and Remote Sensing, 2020The tensor tubal rank, defined based on the tensor singular value decomposition (t-SVD), has obtained promising results in hyperspectral image (HSI) denoising.
Yu-Bang Zheng +5 more
semanticscholar +1 more source