Results 101 to 110 of about 1,381,574 (256)

Object identification and characterization with hyperspectral imagery to identify structure and function of Natura 2000 habitats [PDF]

, 2010
Habitat monitoring of designated areas under the EU Habitats Directive requires every 6 years information on area, range, structure and function for the protected (Annex I) habitat types.
Spanhove, T., Haest, B., Schmidt, A., Kooistra, L., Mücher, C.A., Vanden Borre, J., Vermeulen, M., Delalieux, S.   +7 more
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Multi‐Spectral Gaussian Splatting with Neural Color Representation

Computer Graphics Forum, EarlyView.
Abstract 3D Gaussian Splatting (3DGS) [KKLD23] has transformed novel‐view synthesis from RGB images, yet remains restricted to the visible spectrum. Many applications, including agricultural monitoring, rely on multi‐spectral imaging, where spectral camera alignment and scalability pose major challenges.
Lukas Meyer, Josef Grün, Maximilian Weiherer, Bernhard Egger, Marc Stamminger, Linus Franke   +5 more
wiley   +1 more source

What Are Computer‐Assisted Methods Achieving in Fine‐Needle Aspiration Cytology of the Pancreas? A Systematic Review and Meta‐Analysis

Cytopathology, EarlyView.
This meta‐analysis demonstrates high diagnostic accuracy of computer‐assisted methods in pancreatic EUS‐FNA cytology (AUC 0.92–0.96) and supports an integrated, cytopathologist‐led workflow in which artificial intelligence functions as an adjunct to diagnostic interpretation and on‐site evaluation (ROSE). Created in BioRender. Mohamed Mirzan, A. (2026)
Al‐Amaan Mohamed Mirzan, Roberto Dina
wiley   +1 more source

A Short Survey of Hyperspectral Remote Sensing and Hyperspectral Remote Sensing Research At TUBITAK UZAY

, 2015
Hyperspectral remote sensing (HSRS) is becoming more and more attractive. Recent advances in sensor technologies enabled numerous applications of this imaging modality. HSRS research has been conducted at TUBITAK UZAY since 2012. This paper provides a short survey of these research and development activities ranging from hyperspectral remote sensing ...
Sakarya, Ufuk, Teke, Mustafa, Demirkesen, Can, Haliloglu, Onur, Kozal, Ali Omer, Deveci, Husne Seda, Oztoprak, A. Feray, Toreyin, Behcet Ugur, Gurbuz, Sevgi Zubeyde   +8 more
openaire   +2 more sources

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

Foreword to the Special Issue on Hyperspectral Image and Signal Processing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
This special issue presents advances in signal and image processing related to hyperspectral remote sensing (or imaging spectroscopy). We present the selected 32 articles, which distill the state-of-the-art and the advances in hyperspectral image ...
J. Chanussot, X. Zhu, Y. Gu
doaj   +1 more source

A novel method based on high‐resolution imaging spectroscopy to predict fine‐root traits and the economics space of fresh tree roots

New Phytologist, EarlyView.
Maps of the estimated root nitrogen concentration in the < 0.5‐mm‐diameter classes of 20 woody species based on the imaging spectroscopy using the shortwave infrared spectral region. Summary Tree fine‐root morphological, anatomical, and chemical traits are important to reflect belowground resource acquisition strategies to support tree growth, but ...
Naoki Makita, Natsuko Tanikawa, Tatsuro Nakaji   +2 more
wiley   +1 more source

Guiding the AI revolution in periodontology and implant dentistry: Concepts, ethics, accountability, and a roadmap for sustainable adoption

Periodontology 2000, EarlyView.
Abstract Background Artificial intelligence (AI) is increasingly gaining attention in the field of periodontology and implant dentistry. Currently developed models can support diagnosis, treatment planning, and maintenance monitoring. However, most of the available literature is based on retrospective and often single‐modality data sets.
Aminollah Khormali, Negin Soghli, Patricia A. Miguez   +2 more
wiley   +1 more source

Assessment of corn chlorophyll content via UAV‐derived vegetative indices across growth stages

Agrosystems, Geosciences &Environment, Volume 9, Issue 4, December 2026.
Abstract Traditional chlorophyll (Chl) assessment methods are labor‐intensive and spatially limited. This study evaluated unmanned aerial vehicle (UAV) multispectral imagery for nondestructive field‐scale canopy Chl estimation in corn (Zea mays L.) to support precision nutrient management.
Aarati Khulal, Huijie Gan, Jitender Rathore, Sheetal Kumari, Ivy Flory, Caleb Bishop, Santosh Rijal, Olga Walsh   +7 more
wiley   +1 more source

Hyperspectral images segmentation: a proposal [PDF]

, 2009
Hyper-Spectral Imaging (HIS) also known as chemical or spectroscopic imaging is an emerging technique that combines imaging and spectroscopy to capture both spectral and spatial information from an object. Hyperspectral images are made up of contiguous
GORETTA, Nathalie, CHRISTOPHE, Florio, LELONG, Camille, Fiorio, Christophe, ROGER, Jean-Michel, Gorretta, Nathalie, Bellon Maurel, Véronique, RABATEL, Gilles, BELLON-MAUREL, Véronique   +8 more
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