Results 81 to 90 of about 4,188 (182)

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

SRS: 3D Mapping and Hyperspectral Imaging (HSI) v1

We have developed a protocol for utilizing stimulated Raman scattering (SRS) to acquirelabel-free measurements of specific macromolecules. When performing SRS imagingwe can acquire total protein, total lipid, unsaturated lipid, and saturatedlipid concentration from distinct Raman shift wavenumbers.
Jorge Villazon, Zhi Li, Yajuan Li, Hongje Jang, Anthony Fung, Lingyan Shi, Sanjay Jain   +6 more
openaire   +1 more source

mHC-HSI: Clustering-Guided Hyper-Connection Mamba for Hyperspectral Image Classification

CoRR
Recently, DeepSeek has invented the manifold-constrained hyper-connection (mHC) approach which has demonstrated significant improvements over the traditional residual connection in deep learning models \cite{xie2026mhc}. Nevertheless, this approach has not been tailor-designed for improving hyperspectral image (HSI) classification.
Yimin Zhu 0002, Zack Dewis, Quinn Ledingham, Saeid Taleghanidoozdoozan, Mabel Heffring, Zhengsen Xu, Motasem Alkayid, Megan Greenwood, Lincoln Linlin Xu   +8 more
openaire   +2 more sources

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

Hyperspectral and Multispectral Image Fusion via Neural Tensor Decomposition With Factor Alignment

IEEE Access
Hyperspectral and multispectral image (HSI-MSI) fusion aims to generate high-resolution hyperspectral images (HR-HSI) by integrating a low-resolution hyperspectral image (LR-HSI) with a high-resolution multispectral image (HR-MSI).
Huidong Jiang, Kazuki Naganuma, Zerui Tao, Jin-Liang Xiao, Qibin Zhao, Shunsuke Ono   +5 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

In ovo sexing with Hyperspectral Imaging (HSI): A nondestructive and non-invasive method

Agroindustrial Science
Poultry farming worldwide presents great development; however, one of the great limitations is the determination of the sex of the embryo in ovo, because on farms birds are raised for two purposes, egg production or meat production, so there is a sex preference.
Juan Ernesto Hernandez-Valdez, Daniel Castro-Salinas, Cesar Eduardo Honorio-Javes, Fredy Marcial Pajuelo-Risco   +3 more
openaire   +1 more source