Results 101 to 110 of about 10,052 (204)

Surgical hyperspectral imaging: a systematic review

Computer Assisted Surgery
Hyperspectral imaging (HSI) is a technique that captures and processes information across a wide spectrum of wavelengths, providing detailed spectral data for each pixel in an image to identify and analyze materials or objects. In the surgical domain, it
Hafsa Moontari Ali, Yiming Xiao, Marta Kersten-Oertel   +2 more
doaj   +1 more source

Domain Transfer Learning for Hyperspectral Image Super-Resolution

Remote Sensing, 2019
A Hyperspectral Image (HSI) contains a great number of spectral bands for each pixel; however, the spatial resolution of HSI is low. Hyperspectral image super-resolution is effective to enhance the spatial resolution while preserving the high-spectral ...
Xiaoyan Li, Lefei Zhang, Jane You
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

HSIMAE: A Unified Masked Autoencoder With Large-Scale Pretraining for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With a spurt of progress in deep learning techniques, convolutional neural network-based and transformer-based methods have yielded impressive performance on the hyperspectral image (HSI) classification tasks.
Yue Wang, Ming Wen, Hailiang Zhang, Jinyu Sun, Qiong Yang, Zhimin Zhang, Hongmei Lu   +6 more
doaj   +1 more source

Hyperspectral Image Super-Resolution via Sparsity Regularization-Based Spatial-Spectral Tensor Subspace Representation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image super-resolution (HSI-SR), which enhances the spatial resolution of hyperspectral image (HSI) by fusing a low spatial resolution HSI (LR-HSI) with a high spatial resolution multispectral image (HR-MSI), has gained increasing attention
Yidong Peng, Weisheng Li, Xiaobo Luo, Jiao Du   +3 more
doaj   +1 more source

Spectral–spatial mamba adversarial defense network for hyperspectral image classification

International Journal of Digital Earth
Deep learning models have obtained great success in hyperspectral image classification tasks. Nevertheless, they are usually vulnerable to adversarial attacks. Some existing works have been made to defend against adversarial attacks in HSI classification.
Zhongqiang Zhang, Ye Wang, Dahua Gao, Haoyong Li, Guangming Shi   +4 more
doaj   +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

Differentiating cytology of pancreatic ductal adenocarcinoma and pancreatic neuroendocrine tumors by EUS-FNA through hyperspectral imaging technology combined with artificial intelligence. [PDF]

Therap Adv Gastroenterol
Qin X, Gao L, Wang K, Ran T, Pan Y, Deng Y, Xie X, Zhang Y, Gong T, Zhang B, Zhang L, Wang Y, Li Q, Wang D, Zhou C, Zou D.   +15 more
europepmc   +1 more source

Cross-range self-attention single hyperspectral image super-resolution method based on U-Net architecture. [PDF]

Sci Rep
Wang H, Zheng W, Huo L, Zhang K, Yang T, Li P.   +5 more
europepmc   +1 more source

Light Sources in Hyperspectral Imaging Simultaneously Influence Object Detection Performance and Vase Life of Cut Roses. [PDF]

Plants (Basel)
Kim YT, Ham JY, In BC.
europepmc   +1 more source