Results 81 to 90 of about 1,639 (207)

Real Noise Decoupling for Hyperspectral Image Denoising

Proceedings of the AAAI Conference on Artificial Intelligence
Hyperspectral image (HSI) denoising is a crucial step in enhancing the quality of HSIs. Noise modeling methods can fit noise distributions to generate synthetic HSIs to train denoising networks. However, the noise in captured HSIs is usually complex and difficult to model accurately, which significantly limits the effectiveness of these approaches.
Yingkai Zhang, Tao Zhang 0042, Jing Nie, Ying Fu 0001   +3 more
openaire   +2 more sources

Potential of VIS‐IR imaging spectroscopy and SEM‐EDS and EMPA to map the mineralogical composition of NWA 7317 (CR6)

Meteoritics &Planetary Science, Volume 61, Issue 6, Page 1026-1044, June 2026.
Abstract Asteroid compositional analysis relies on comparing reflectance spectra with laboratory data from well‐characterized meteorites. To advance this comparison, we performed a comprehensive laboratory analysis on a slab of the Northwest Africa (NWA) 7317—CR6 carbonaceous chondrite.
Simone Pascucci, Tiberio Cuppone, Martina Casalini, Simone De Angelis, Antonio Lettino, Angelo Palombo, Eliana La Francesca, Gianrico Filacchione, Maria Cristina De Sanctis, Anna Galiano, Giovanni Pratesi   +10 more
wiley   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

Microscopy Research and Technique, Volume 89, Issue 5, Page 791-814, May 2026.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari, Sagnika Dutta, H. Deeksha, Samreen A. Patel, Budheswar Dehury, Nirmal Mazumder   +5 more
wiley   +1 more source

4DCAF: A temporal approach for denoising hyperspectral image sequences

Pattern Recognition, 2017
Due to the rapid advancement of sensor technology over the past decade, it is now feasible to capture sequences of hyperspectral images at acceptable frame rates. Nonetheless, these sequences can be heavily affected by noise, particularly when the data spans the thermal spectrum.
Priego Torres, Blanca María, Duro, Richard J., Chanussot, Jocelyn   +2 more
openaire   +4 more sources

Saponite Bearing Material Excavated During the Formation of a Recent 25‐m‐Diameter Impact Crater in Southeastern Arabia Terra on Mars

Journal of Geophysical Research: Planets, Volume 131, Issue 5, May 2026.
Abstract Mars Reconnaissance Orbiter's Compact Reconnaissance Imaging Spectrometer for Mars (CRISM), Context Imager (CTX), and High Resolution Imaging Science Experiment observations were analyzed for a 25‐m‐wide impact crater and associated ejecta deposits located in the dust‐covered Arabia Terra region.
R. E. Arvidson, J. G. Catalano, J. R. Christian, A. A. Fraeman, M. N. Hughes, A. L. Knight, W. B. McKinnon, R. V. Morris, S. L. Murchie, J. A. O’Sullivan, D. V. Politte, F. Seelos, M. J. Wolff, F. Zhou   +13 more
wiley   +1 more source

Unsupervised Hyperspectral Stimulated Raman Microscopy Image Enhancement: Denoising and Segmentation via One-Shot Deep Learning

, 2021
Hyperspectral stimulated Raman scattering (SRS) microscopy is a label-free technique for biomedical and mineralogical imaging which can suffer from low signal to noise ratios.
Pedram Abdolghader (14386845), Adrian F. Pegoraro (1572052), Gavin Resch (11505259), Albert Stolow (277514), Andrew Ridsdale (425835), Francois Legare (5349317), Tassos Grammatikopoulos (11505256), Isaac Tamblyn (1295799)   +7 more
core   +1 more source

Fabric, Texture, and Bubble Characteristics of the Million‐Year Old Allan Hills Blue Ice Core ALHIC1901

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 5, May 2026.
Abstract Ice cores from the Allan Hills blue ice area in Antarctica have been dated to several million years of age. However, the stratigraphy of these cores is often disturbed, and age reversals are common, hampering the interpretation of the derived climate records.
Nicolas Stoll, Marguerite Shaya, Liam Kirkpatrick, Johannes Freitag, Valens Hishamunda, John‐Morgan Manos, Daniela Jansen, Ilka Weikusat, John Fegyveresi, Bradley Paul Lipovsky, Ed Brook, Sarah Shackleton, John Higgins, T. J. Fudge   +13 more
wiley   +1 more source

Moreau-Enhanced Total Variation and Subspace Factorization for Hyperspectral Denoising

, 2020
Hyperspectral images (HSIs) denoising aims at recovering noise-free images from noisy counterparts to improve image visualization. Recently, various prior knowledge has attracted much attention in HSI denoising, e.g., total variation (TV), low-rank ...
Jianwei Zheng, Yanhong Yang, Shengyong Chen   +2 more
core   +1 more source

Hyperspectral Image Denoising via Framelet Transformation Based Three-Modal Tensor Nuclear Norm

, 2021
During the acquisition process, hyperspectral images (HSIs) are inevitably contaminated by mixed noise, which seriously affects the image quality. To improve the image quality, HSI denoising is a critical preprocessing step.
Yangyang Song, Jing Liu, Wenfeng Kong
core   +1 more source

SMDe: enhancing hyperspectral image denoising through a spatial-spectral modulated network

Frontiers in Remote Sensing
Hyperspectral image denoising is crucial for restoring effective information from noisy data and plays a significant role in various downstream applications.
Ke Yang, Weixiang Yuan, Beibei Fang, Huiwu Xia, Xiaoxue Xing, Xiaoxue Xing, Weiwei Shang   +6 more
doaj   +1 more source