Results 81 to 90 of about 1,349 (217)

Challenges in Hyperspectral Imaging for Autonomous Driving: The HSI-Drive Case

2025 15th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)
The use of hyperspectral imaging (HSI) in autonomous driving (AD), while promising, faces many challenges related to the specifics and requirements of this application domain. On the one hand, non-controlled and variable lighting conditions, the wide depth-of-field ranges, and dynamic scenes with fast-moving objects. On the other hand, the requirements
Koldo Basterretxea, Jon Gutiérrez-Zaballa, Javier Echanobe   +2 more
openaire   +2 more sources

O129 CLASSIFICATION OF BARRETT’S CARCINOMA SPECIMENS BY HYPERSPECTRAL IMAGING (HSI)

Diseases of the Esophagus, 2019
Abstract Aim Hyperspectral imaging (HSI) technology combines imaging with spectroscopy and can be used for the classification of malignant and non-malignant cells. Thereby HSI combined with artificial intelligent algorithms can be used to predict tumor cells in in Barrett’s carcinoma specimens.
Thieme René, Maktabi Marianne, Köhler Hannes, Chalopin Claire, Jansen-Winkeln Boris, Gockel Ines   +5 more
openaire   +1 more source

HSIToolbox : a web-based application for the classification of hyperspectral images [PDF]

, 2023
Recent deep-learning-based classification models for hyperspectral images (HSIs) yield near-perfect classification accuracy on benchmark data sets. However, applying them in real scenarios often requires programming skills and machine learning expertise,
Dhaene, Zeno00016005060680200289952897566063768695528504-4557-11E6-A62A-BD46B5D1D7B1, Žižakić, Nina0001712944218020027246259735856234870000-0002-8419-9568E9DFA0BE-A561-11E7-8C81-5218AE28A064, Huang, ShaoguangUGent0001414504508020022047649765955861328B88C39E-6A1A-11E5-9210-8180B5D1D7B1, Li, Xian0001813137138020030436149710684045770000-0001-5714-394002BD41A8-CDA3-11E8-9AC7-B5405707D3EF, Pizurica, AleksandraCA05TW070019978443328010015804500000-0002-9322-4999F64D656C-F0ED-11E1-A9DE-61C894A0A6B4   +4 more
core  

Background Learning Based on Target Suppression Constraint for Hyperspectral Target Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Hyperspectral target detection is critical in both military and civilian applications. However, it is a challenging task due to the complexity of background and the limited samples of target in hyperspectral images (HSIs).
Weiying Xie, Xin Zhang, Yunsong Li, Keyan Wang, Qian Du   +4 more
doaj   +1 more source

Anomaly Detection of Remote Sensing Images Based on the Channel Attention Mechanism and LRX

Applied Sciences, 2023
Anomaly detection of remote sensing images has gained significant attention in remote sensing image processing due to their rich spectral information. The Local RX (LRX) algorithm, derived from the Reed–Xiaoli (RX) algorithm, is a hyperspectral anomaly ...
Huinan Guo, Hua Wang, Xiaodong Song, Zhongling Ruan   +3 more
doaj   +1 more source

L‐Probe: New Approach for Spike Removal in Raman Hyperspectral Imaging Based on Local Prominence Peak Filtering

Journal of Chemometrics, Volume 40, Issue 8, August 2026.
ABSTRACT Raman hyperspectral imaging is an indispensable analytical technique that can provide simultaneous chemical and spatial information of a sample, enabling a higher comprehension and sampling of the analyzed material. However, a known challenge in processing large hyperspectral Raman datasets is the effective removal of spurious, high‐intensity ...
Leonardo Francisco Rafael Lemes, Victor Klassen de Oliveira, Frederico Luis Felipe Soares   +2 more
wiley   +1 more source

Tunable Extraordinary Optical Transmission in the Long‐Wavelength Infrared Range Using Electrostatic MEMS Actuation

Advanced Materials Technologies, Volume 11, Issue 14, 22 July 2026.
A MEMS‐integrated metamaterial filter enables continuous, low‐voltage spectral tuning in the long‐wavelength infrared (LWIR). The device employs extraordinary optical transmission in a dual suspended metasurface stack, where electrostatic actuation precisely controls the intermembrane air gap.
Oleg Bannik, Fedor Kovalev, Michal Zawierta, Dilusha Silva, Lorenzo Faraone, Ilya Shadrivov, Mariusz Martyniuk   +6 more
wiley   +1 more source

Refractive Index–Correlated Pseudocoloring for Adaptive Color Fusion in Holotomographic Cytology

Cytometry Part A, Volume 109, Issue 7, Page 500-512, July 2026.
ABSTRACT Conventional bright‐field (BF) cytology of thyroid fine‐needle aspiration biopsy (FNAB) suffers from staining variability and limited subcellular contrast. Here, we present a refractive index–correlated pseudocoloring (RICP) framework that integrates quantitative refractive index (RI) maps obtained by holotomography (HT) with color BF images ...
Minseok Lee, Tal Lifshitz, Young Ki Lee, Geon Kim, Seog Yun Park, Hayoung Lee, Juyeon Park, Eun Kyung Lee, YongKeun Park   +8 more
wiley   +1 more source

Hyperspectral Image Super-Resolution Inspired by Deep Laplacian Pyramid Network

Remote Sensing, 2018
Existing hyperspectral sensors usually produce high-spectral-resolution but low-spatial-resolution images, and super-resolution has yielded impressive results in improving the resolution of the hyperspectral images (HSIs).
Zhi He, Lin Liu
doaj   +1 more source

Evaluation of the Usefulness of Machine Learning and Artificial Intelligence on Hyperspectral Images in the Diagnosis of Myelodysplastic Syndrome

Journal of Biophotonics, Volume 19, Issue 7, July 2026.
Hyperspectral imaging (350–1050 nm) captures spectral information beyond the visible range from bone marrow biopsy specimens. An HSI‐based AI system using machine learning achieved up to 97% accuracy in diagnosing and classifying MDS, outperforming a previous RGB‐based study.
Yasuo Ueda, Takafumi Ogawa, Akane Wada, Genshu Tate, Yuta Baba, Tetsuya Fukuda, Toshiko Yamochi   +6 more
wiley   +1 more source