Results 61 to 70 of about 11,320,128 (203)

Fusing Spatial Attention with Spectral-Channel Attention Mechanism for Hyperspectral Image Classification via Encoder–Decoder Networks

Remote Sensing, 2022
In recent years, convolutional neural networks (CNNs) have been widely used in hyperspectral image (HSI) classification. However, feature extraction on hyperspectral data still faces numerous challenges.
Jun Sun, Junbo Zhang, Xuesong Gao, Mantao Wang, Dinghua Ou, Xiaobo Wu, Dejun Zhang   +6 more
doaj   +1 more source

Scalable Room‐Temperature Terahertz Graphene Cameras

Small Methods, EarlyView.
ABSTRACT Terahertz (THz) imaging has emerged as a powerful tool for non‐destructive, label‐free analysis across several scientific disciplines, ranging from materials science to biomedical research. By capturing the spatial‐dependent information in a broad range of frequencies, this technique enables the identification of chemical composition ...
Lili Shi, Leonardo Viti, Miriam S. Vitiello   +2 more
wiley   +1 more source

Contactless in vitro detection of carboxyhemoglobin using hyperspectral imaging (HSI)

Forensic Science, Medicine and Pathology
Abstract Hyperspectral imaging (HSI) allows for the contactless analysis of the composition of substances based on the reflected light and is already used in various areas of medicine. The carboxyhemoglobin (CO-Hb) concentration in blood of suspected fire victims serves to prove vitality and the cause of death. However, this metric is usually
P. Czarkowski, C. Babian, St Lüdtke, S. Baumann, J. Dreßler   +4 more
openaire   +3 more sources

AI‐Powered TAT‐Net Hyperspectral Imaging for Rapid and Accurate Differentiation of Sinonasal Inverted Papilloma and Malignancy

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Background Sinonasal inverted papilloma (IP) and malignancies share overlapping clinical and endoscopic features, and conventional histopathology frequently requires time‐consuming adjunct immunohistochemistry. Hyperspectral imaging (HSI) can capture subtle spectral changes associated with malignant transformation that are not apparent on ...
Hao‐Miao Zhao, Jia‐Chang Kong, Yun‐Ze Li, Wei Li, Xin Feng   +4 more
wiley   +1 more source

HYPERSPECTRAL AND MULTISPECTRAL IMAGE FUSION USING FULLY CONSTRAINED NONLINEAR COUPLED NONNEGATIVE MATRIX FACTORIZATION

ICTACT Journal on Image and Video Processing, 2022
Hyperspectral images (HSI) have a wide range of spectral information compared to conventional images. This rich spectral information leads to store more information about the image.
K Priya, K K Rajkumar
doaj   +1 more source

What Are Computer‐Assisted Methods Achieving in Fine‐Needle Aspiration Cytology of the Pancreas? A Systematic Review and Meta‐Analysis

Cytopathology, EarlyView.
This meta‐analysis demonstrates high diagnostic accuracy of computer‐assisted methods in pancreatic EUS‐FNA cytology (AUC 0.92–0.96) and supports an integrated, cytopathologist‐led workflow in which artificial intelligence functions as an adjunct to diagnostic interpretation and on‐site evaluation (ROSE). Created in BioRender. Mohamed Mirzan, A. (2026)
Al‐Amaan Mohamed Mirzan, Roberto Dina
wiley   +1 more source

Nonlinear spectral unmixing of hyperspectral images using Gaussian processes [PDF]

, 2012
This paper presents an unsupervised algorithm for nonlinear unmixing of hyperspectral images. The proposed model assumes that the pixel reflectances result from a nonlinear function of the abundance vectors associated with the pure spectral components ...
Altmann, Yoann, Altmann, Yoann; id_orcid, McLaughlin, Steve; id_orcid, Dobigeon, Nicolas, Tourneret, Jean-Yves, McLaughlin, Steve   +5 more
core   +1 more source

A Novel Analysis Dictionary Learning Model Based Hyperspectral Image Classification Method

Remote Sensing, 2019
Supervised hyperspectral image (HSI) classification has been acknowledged as one of the fundamental tasks of hyperspectral data analysis. Witnessing the success of analysis dictionary learning (ADL)-based method in recent years, we propose an ADL-based ...
Wei Wei, Mengting Ma, Cong Wang, Lei Zhang, Peng Zhang, Yanning Zhang   +5 more
doaj   +1 more source

Brain tissue classification in hyperspectral images using multistage diffusion features and transformer

Journal of Microscopy, EarlyView.
Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger, Tuan T. Nguyen, Gianluca Tozzi   +2 more
wiley   +1 more source

Adaptive Markov random fields for joint unmixing and segmentation of hyperspectral image [PDF]

, 2013
Linear spectral unmixing is a challenging problem in hyperspectral imaging that consists of decomposing an observed pixel into a linear combination of pure spectra (or endmembers) with their corresponding proportions (or abundances). Endmember extraction
Eches, Olivier, Benediktsson, Jon Atli, Dobigeon, Nicolas, Tourneret, Jean-Yves   +3 more
core   +1 more source