Results 71 to 80 of about 11,517,403 (217)

SpaSSA : superpixelwise adaptive SSA for unsupervised spatial-spectral feature extraction in hyperspectral image [PDF]

, 2022
Singular spectral analysis (SSA) has recently been successfully applied to feature extraction in hyperspectral image (HSI), including conventional (1-D) SSA in spectral domain and 2-D SSA in spatial domain.
Fu, Hang, Zhao, Huimin, Sun, Genyun, Zabalza, Jaime, Jia, Xiuping, Ren, Jinchang, Zhang, Aizhu   +6 more
core   +1 more source

Hyperspectral and Multispectral Image Fusion via Deep Generalised Linear Mixed Model

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Hyperspectral–multispectral image fusion is an incomplete information fusion problem, and directly embedding information can lead to modality‐specific responses and cause spectral distortion, whereas the strong interband redundancy of hyperspectral images makes full‐dimensional fusion inefficient.
Jiaming Wang, Ziyue Yang, Yu Wang, Xiujuan Lang, Tao Lu, Qingwei Zhuang   +5 more
wiley   +1 more source

Hyperspectral image denoising with enhanced multivariance product representation [PDF]

, 2022
Hyperspectral images are used in many different fields due to their ability to capture wide areas and rich spectrality. However, applications on hyperspectral image (HSI) are affected or limited by various types of noise.
Ozay, Evrim Korkmaz, Tunga, Burcu
core   +1 more source

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   +3 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

ManUSPECTRAL – the Mannheim Urology HyperSPECTRAL Imaging Atlas of 17 Physiological Human Organs

BJU International, EarlyView.
Objectives To establish a standardised intraoperative hyperspectral imaging (HSI) human organ reference dataset and to characterise spectral signatures across organ classes as a foundation for future computational and clinical applications. Subjects and Methods Intraoperative assessment of anatomical structures and tissue quality such as perfusion or ...
Alexander Rathenborg, Vera Klütz, Paula Grützner, Luisa Hartung, Greta Demmel, Christoph Julien Bender, Jan Sellner, Silvia Seidlitz, Caelan Max Haney‐Aubert, Wahid Fattal, Tilmann Clanget, Berkin Özdemir, Samuel Knoedler, Gabriel Alexander Salg, Luisa Renner, Nicolas Carl, Cuyler Yu, Charlene Leung, Dominic Edelmann, Nicholas Schreck, Maurice Stephan Michel, Lena Maier‐Hein, Karl‐Friedrich Kowalewski   +22 more
wiley   +1 more source

Non-local similarity based tensor decomposition for hyperspectral image denoising [PDF]

, 2017
Compared to traditional color or grayscale images, hyperspectral image (HSI) can help deliver more faithful representation of ground objects and enhance the performance of many computer vision tasks.
Jun Zhou, Zhou, Jun, Xu, Fan, Fan Xu, Bai, Xiao, Xiao Bai   +5 more
core   +1 more source

HSI-IPGAN: Hyperspectral Image Inpainting via Generative Adversarial Network

, 2023
Abstract Due to the instability of the hyperspectral imaging system and the atmospheric interference, hyperspectral images (HSIs) often suffer from losing the image information of areas with different shapes, which significantly degrades the data quality and further limits the effectiveness of methods for subsequent tasks.
Hu Chen, Jia Li, Junjie Zhang, Liangang Zhang, Dan Zeng   +4 more
openaire   +1 more source

A clinically translatable hyperspectral endoscopy (HySE) system for imaging the gastrointestinal tract

Nature Communications, 2019
Hyperspectral imaging (HSI) enables recording both morphological and biochemical information, but image acquisition time and geometric distortions limit its clinical applicability.
Jonghee Yoon, James Joseph, Dale J. Waterhouse, A. Siri Luthman, George S. D. Gordon, Massimiliano di Pietro, Wladyslaw Januszewicz, Rebecca C. Fitzgerald, Sarah E. Bohndiek   +8 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