Results 81 to 90 of about 11,320,128 (203)

Land use/land cover (LULC) classification using hyperspectral images: a review

Geo-spatial Information Science
In the rapidly evolving realm of remote sensing technology, the classification of Hyperspectral Images (HSIs) is a pivotal yet formidable task. Hindered by inherent limitations in hyperspectral imaging, enhancing the accuracy and efficiency of HSI ...
Chen Lou, Mohammed A. A. Al-qaness, Dalal AL-Alimi, Abdelghani Dahou, Mohamed Abd Elaziz, Laith Abualigah, Ahmed A. Ewees   +6 more
doaj   +1 more source

Hyperspectral Image Super-Resolution by Deep Spatial-Spectral Exploitation

Remote Sensing, 2019
Limited by the existing imagery sensors, hyperspectral images are characterized by high spectral resolution but low spatial resolution. The super-resolution (SR) technique aiming at enhancing the spatial resolution of the input image is a hot topic in ...
Jing Hu, Minghua Zhao, Yunsong Li
doaj   +1 more source

Hyperspectral Imaging (HSI) of Human Kidney Allografts

, 2021
Zusammenfassung der Arbeit /Dissertation zur Erlangung des akademischen Grades Dr. med. Hyperspectral Imaging (HSI) of Human Kidney Allografts Die HSI Bildgebung ist ein nichtinvasives Instrument zur quantitativen Bewertung der Sauerstoffanreicherung parenchymatöser Organe, der Mikroperfusion von Transplantaten sowie zur Messung der Hämoglobin- und ...
openaire   +1 more source

Optimized Stacking Ensemble Machine Learning for Nondestructive Toxicological Risk Assessment of Fish Meat Using Hyperspectral Imaging

Journal of Food Safety, Volume 46, Issue 5, October 2026.
Hyperspectral imaging and an optimized stacking ensemble learning model are developed for rapid, nondestructive toxicological assessment of fish meat. This framework integrated multiple machine learning classifiers to accurately distinguish toxicologically contaminated fish from fresh samples using both reduced (25‐band) and full (224‐band) spectral ...
Muhammad Aqeel, Muhammad Iqbal, Hassan Majeed, Rumaisa Mahmod, Khan Bahadar Khan, Yiming Deng   +5 more
wiley   +1 more source

Research progress on anomaly target detection algorithms for hyperspectral imagery

Geocarto International
Hyperspectral image (HSI) data plays an important role in remote sensing images, and researchers have done a great deal of work to understand and recognize HSI.
Baozhi Cheng, Yan Gao
doaj   +1 more source

Local Low-Rank and Sparse Representation for Hyperspectral Image Denoising

IEEE Access, 2019
Hyperspectral image (HSI) denoising is a fundamental task in a plethora of HSI applications. Global low-rank property is widely adopted to exploit the spectral-spatial information of HSIs, providing satisfactory denoising results.
Guanqun Ma, Ting-Zhu Huang, Jie Huang, Chao-Chao Zheng   +3 more
doaj   +1 more source

Protein Corona‐Coated Crystal Silica From Sandstorms Amplifies Allergic Rhinitis by Regulating Epithelial Integrity in Mice and Human Nasal Epithelia

Allergy, EarlyView.
Cuishuang Dong, Xu Zhang, Haoyue Wang, Jiajing Cui, Shuai Han, Yibo Wang, Huanying Zhao, Yang Song, Yuan Zhang, Xiaobo Li   +9 more
wiley   +1 more source

Active Free Radical Cold Atmosphere Plasma Promotes Healing of Diabetes Foot Ulcer: Mechanism and Challenge

Diabetes/Metabolism Research and Reviews, Volume 42, Issue 6, September 2026.
ABSTRACT Background Diabetic foot ulcers (DFUs) have become an important cause of disability and death in patients with diabetes. Traditional therapies are prone to problems such as recurrence and drug resistance, which result in unsatisfactory healing effects for DFUs.
Yiran Wang, Junxiao Zhang, Jinting Yan, Wenhua Bi, Jinlong Ma   +4 more
wiley   +1 more source

Residual component analysis of hyperspectral images - Application to joint nonlinear unmixing and nonlinearity detection [PDF]

, 2014
This paper presents a nonlinear mixing model for joint hyperspectral image unmixing and nonlinearity detection. The proposed model assumes that the pixel reflectances are linear combinations of known pure spectral components corrupted by an additional ...
Altmann, Yoann, Altmann, Yoann; id_orcid, Tourneret, Jean-yves, Tourneret, Jean Yves, Yoann Altmann, Steve Mclaughlin, McLaughlin, Steve; id_orcid, Nicolas Dobigeon, Jean-yves Tourneret, Dobigeon, Nicolas, McLaughlin, Steve   +10 more
core   +1 more source

Nonlinear unmixing of hyperspectral images: Models and algorithms [PDF]

, 2013
When considering the problem of unmixing hyperspectral images, most of the literature in the geoscience and image processing areas relies on the widely used linear mixing model (LMM).
McLaughlin, Stephen; id_orcid, Hero, Alfred O, Jean-yves Tourneret, Cédric Richard, Hero, Alfred O., Dobigeon, Nicolas, McLaughlin, Steve, Bermudez, José Carlos M., Alfred O. Hero, Stephen Mclaughlin, Bermudez, José Carlos Moreira, Nicolas Dobigeon, Richard, Cédric, Tourneret, Jean-Yves, José Carlos M. Bermudez, Bermudez, José Carlos M   +14 more
core   +1 more source