Results 111 to 120 of about 1,639 (207)

Hyperspectral Simultaneous Anomaly Detection and Denoising: Insights From Integrative Perspective

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In data acquisition and transmission, hyperspectral images are inevitably corrupted by additive noises, making it challenging to accurately observe and recognize the materials on the surface of the Earth.
Minghua Wang, Lianru Gao, Longfei Ren, Xian Sun, Jocelyn Chanussot   +4 more
doaj   +1 more source

A New Low-Rank Representation Based Hyperspectral Image Denoising Method for Mineral Mapping

, 2017
Hyperspectral imaging technology has been used for geological analysis for many years wherein mineral mapping is the dominant application for hyperspectral images (HSIs).
Lianru Gao, Zhang, Bing, Qingting Li, José Bioucas-Dias, Lina Zhuang, Li, Qingting, Zhuang, Lina, Bing Zhang, Dan Yao, José M. Bioucas-Dias, Gao, Lianru, Bioucas-Dias, José M., Yao, Dan   +12 more
core   +1 more source

Hyperspectral Image Denoising via Correntropy-Based Nonconvex Low-Rank Approximation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral images (HSIs) are prone to be corrupted by various types of noise during the process of imaging and transmission, which seriously affect the subsequent HSI processing tasks. In this article, we proposed a novel low-rank-based model for HSIs
Peizeng Lin, Lei Sun, Yaochen Wu, Weiyong Ruan   +3 more
doaj   +1 more source

Hyperspectral Image Denoising by Pixel-Wise Noise Modeling and TV-Oriented Deep Image Prior

Remote Sensing
Model-based hyperspectral image (HSI) denoising methods have attracted continuous attention in the past decades, due to their effectiveness and interpretability.
Lixuan Yi, Qian Zhao, Zongben Xu
doaj   +1 more source

Efficient reconfigurable architectures for 3D medical image compression [PDF]

, 2010
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Recently, the more widespread use of three-dimensional (3-D) imaging modalities, such as magnetic resonance imaging (MRI), computed tomography (CT ...
Ahmad, Afandi, Afandi, Ahmad
core  

Hyperspectral image denoising via self-modulating convolutional neural networks

Compared to natural images, hyperspectral images (HSIs) consist of a large number of bands, with each band capturing different spectral information from a certain wavelength, even some beyond the visible spectrum.
Erkut Erdem, Orhan Torun, Nevrez Imamoglu, Erdem, Erkut, Torun, Orhan, Seniha Esen Yuksel, Aykut Erdem, Erdem, Aykut, Imamoglu, Nevrez, Yuksel, Seniha Esen   +9 more
core   +1 more source

Automatic Denoising and Unmixing in Hyperspectral Image Processing

, 2014
This thesis addresses two important aspects in hyperspectral image processing: automatic hyperspectral image denoising and unmixing. The first part of this thesis is devoted to a novel automatic optimized vector bilateral filter denoising algorithm ...
Peng, Honghong
core  

Deep Hyperspectral Prior: Single-Image Denoising, Inpainting, Super-Resolution

, 2019
Deep learning algorithms have demonstrated state-of-the-art performance in various tasks of image restoration. This was made possible through the ability of CNNs to learn from large exemplar sets.
Hardeberg, Jon Yngve, Sidorov, Oleksii
core  

Hyperspectral Image Denoising via Quasi-Recursive Spectral Attention and Cross-Layer Feature Fusion. [PDF]

Sensors (Basel)
Xiao Y, Zhou H, Li W, Yang L, Wang K.
europepmc   +1 more source

Multidimensional data analysis and classification using SMIAL. [PDF]

Commun Biol
Knab A, Handley S, Xu X, Mackevicius M, Anwer AG, Campbell JM, Tian Y, Goldys EM, Bhargava A.   +8 more
europepmc   +1 more source