Results 61 to 70 of about 2,902 (152)

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, Volume 36, Issue 27, 2 April 2026.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Hyperspectral Imaging of Whole‐Cell Region for Differentiating Cervical Squamous Intraepithelial Lesion Cytology

Cancer Medicine, Volume 15, Issue 4, April 2026.
We present here the effectiveness of hyperspectral imaging of Papanicolaou stained cells in the differential diagnosis between ASCs and other cell types. ABSTRACT Background Cervical cytology offers a relatively safe and reliable method for cancer screening, but the tests contain vague grading criteria, such as atypical squamous cells, and cannot ...
Haruka Matsukawa, Keiko Yugawa, Chikai Hosokawa, Kazumi Furuichi, Kumiko Kamada, Kyoko Tanabe, Sakon Noriki, Yoshiaki Imamura, Hironobu Naiki, Kunihiro Inai   +9 more
wiley   +1 more source

A Novel Transformer Network with a CNN-Enhanced Cross-Attention Mechanism for Hyperspectral Image Classification

Remote Sensing
Recently, with the remarkable advancements of deep learning in the field of image processing, convolutional neural networks (CNNs) have garnered widespread attention from researchers in the domain of hyperspectral image (HSI) classification.
Xinyu Wang, Le Sun, Chuhan Lu, Baozhu Li
doaj   +1 more source

Spectral–Spatial HyperspectralImage Classification With K-Nearest Neighbor and Guided Filter

IEEE Access, 2018
Explosive growth of applications in hyperspectral image (HSI) has made HSI classification a hot topic in the remote sensing community. The key to improve classification accuracy is how to make full use of the spectral and spatial information.
Yanhui Guo, Han Cao, Siming Han, Yunchuan Sun, Yu Bai   +4 more
doaj   +1 more source

Hyperspectral Image Classification via Slice Sparse Coding Tensor Based Classifier With Compressive Dimensionality Reduction

IEEE Access, 2020
Tensor representation is the most natural and effective way to preserve the structural information of hyperspectral image (HSI), and thus is very beneficial to HSI processing.
Lixia Yang, Rui Zhang, Shuyuan Yang, Licheng Jiao   +3 more
doaj   +1 more source

Linking Remotely Sensed Hydromorphological Conditions With Biological Observations to Estimate Salmon Spawning Capacity

Ecohydrology, Volume 19, Issue 3, April/May 2026.
ABSTRACT Performing ecohydraulic assessments of salmon habitat is essential for planning and evaluating management actions. Current in situ and modelling approaches, although accurate, can be time‐consuming and expensive, which limits the areal extent of the study.
Jared G. Stieve, Daniel S. Auerbach, Alexander K. Fremier   +2 more
wiley   +1 more source

DCFF-Net: Deep Context Feature Fusion Network for High-Precision Classification of Hyperspectral Image

Remote Sensing
Hyperspectral images (HSI) contain abundant spectral information. Efficient extraction and utilization of this information for image classification remain prominent research topics.
Zhijie Chen, Yu Chen, Yuan Wang, Xiaoyan Wang, Xinsheng Wang, Zhouru Xiang   +5 more
doaj   +1 more source

Hyperspectral imaging (HSI) for intraoperative tumor cell classification [PDF]

Laryngo-Rhino-Otologie, 2019
R Beck, H Köhler, F Goltz, A Dietz, C Chalopin, I Gockel   +5 more
openaire   +1 more source

Self- and Cross-Attention Enhanced Transformer for Visible and Thermal Infrared Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Visible hyperspectral image (V-HSI) and thermal infrared hyperspectral image (TI-HSI) have been crucial data sources for land cover classification. V-HSI can directly provide information of land surface, such as shape, color, texture, and other features.
Enyu Zhao, Yongfang Su, Nianxin Qu, Yulei Wang, Caixia Gao, Jian Zeng   +5 more
doaj   +1 more source

Joint Alternate Small Convolution and Feature Reuse for Hyperspectral Image Classification

ISPRS International Journal of Geo-Information, 2018
A hyperspectral image (HSI) contains fine and rich spectral information and spatial information of ground objects, which has great potential in applications.
Hongmin Gao, Yao Yang, Chenming Li, Hui Zhou, Xiaoyu Qu   +4 more
doaj   +1 more source