Results 91 to 100 of about 1,727,336 (191)

Technique for validating remote sensing products of water quality [PDF]

, 2008
Remote sensing of water quality is initiated as an additional part of the on going activities of the EAGLE2006 project. Within this context intensive in-situ and airborne measurements campaigns were carried out over the Wolderwijd and Veluwemeer ...
Salama, S., Vekerdy, Zoltán, Abouali, M., Verhoef, W., Monbaliu, J., Su, Z., Mannaerts, C. M.   +6 more
core   +1 more source

Seeing both the forest and the trees: An automated workflow for ultra‐high‐resolution drone imaging of tropical canopies

Methods in Ecology and Evolution, EarlyView.
Abstract Tropical forest canopies host diverse tree and liana assemblages, yet key foliar and reproductive traits needed for taxonomic identification of canopy plants are often difficult to see from the forest floor, creating a bottleneck in inventories.
Etienne Laliberté, Antoine Caron‐Guay, Vincent Le Falher, Guillaume Tougas, Helene C. Muller‐Landau, Gonzalo Rivas‐Torres, Thomas R. Walla, Hugo Baudchon, Mélvin Hernandez, Adrian Buenaño, Anna Weber, Jeffrey Q. Chambers, Jomber Chota Inuma, Fernando Araúz, Jorge Valdes, Andrés Hernández, David Brassfield, Paulo Araujo Filho, Vicente Vasquez, Adriana Simonetti, Daniel Magnabosco Marra, Caroline de Moura Vasconcelos, Jarol Fernando Vaca, Geovanny Rivadeneyra, José Illanes, Luis A. Salagaje‐Muela, Jefferson Gualinga   +26 more
wiley   +1 more source

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

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

An urban classification approach based on an object-oriented analysis of high resolution satellite imagery for a spatial structuring within urban areas [PDF]

, 2006
Classifying the complex structures of urban morphology from high resolution remote sensing imagery comprises difficulties due to their spectral and spatial heterogeneity.
Taubenböck, Hannes, Roth, Achim, Esch, Thomas   +2 more
core  

Spatial-Spectral-Emissivity Land-Cover Classification Fusing Visible and Thermal Infrared Hyperspectral Imagery

Remote Sensing, 2017
High-resolution visible remote sensing imagery and thermal infrared hyperspectral imagery are potential data sources for land-cover classification. In this paper, in order to make full use of these two types of imagery, a spatial-spectral-emissivity land-
Yanfei Zhong, Tianyi Jia, Ji Zhao, Xinyu Wang, Shuying Jin   +4 more
doaj   +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

Development of a new spectral library classifier for airborne hyperspectral images on heterogeneous environments [PDF]

, 2011
The classification of hyperspectral images on heterogeneous environments without prior knowledge about the study area is a challenging task. Finding potential pure spectral signatures or endmembers (EM) of the various surface materials within an image is
Mende, Andre, Heiden, Uta, Buchroithner, Manfred, Hoja, Danielle, Bachmann, Martin   +4 more
core  

Thermal remote sensing from Airborne Hyperspectral Scanner data in the framework of the SPARC and SEN2FLEX projects: an overview [PDF]

, 2009
The AHS (Airborne Hyperspectral Scanner) instrument has 80 spectral bands covering the visible and near infrared (VNIR), short wave infrared (SWIR), mid infrared (MIR) and thermal infrared (TIR) spectral range.
Gillespie, A., L. Guanter, M. Romaguera, Z. Su, J. C. Jiménez-Muñoz, Nerry, Françoise, F. Nerry, Morales, L., Jiménez-Miñoz, J. C., L. Morales, Mattar, Cristian, V. Hidalgo, Morales, L.M., Romaguera Albentosa, M., Jia, L., Sobrino, J.A., Zarco-Tejada, P.J., J. A. Sobrino, Olioso, A., E. de Miguel, Sobrino, J. A., W. Timmermans, Su, Z., Y. Julien, J. Cuenca, L. Balick, Soria, G., Moreno, José, A. Gieske, C. Mattar, Sepulcre-Canto, G., Moreno, J., Shen, Q., J. Moreno, Julien, Y., Hidalgo, V., D. Sabol, Timmermans, W., Franch, B., Zarco-Tejada, P. J., Timmermans, W, Q. Shen, A. Gillespie, Miguel, E., de, Nerry, F., Gillespie, A.R., Romaguera, M., Mattar, C., Gieske, A., Balick, L., Guanter, L., Timmermans, W.J., L. Jia, Olioso, Albert, P. J. Zarco-Tejada, Cuenca, J., G. Sepulcre-Cantó, Jimenez-Munoz, J.C., Su, Z.; id_orcid, de Miguel, E., Sabol, D., Soria, E., B. Franch, G. Sòria, A. Olioso, Sobrino Rodríguez, José A., Romaguera-Ros, Miriam, Jiménez-Muñoz, Juan Carlos, Guanter Palomar, Luis   +68 more
core   +2 more sources

A semi-analytical approach for estimating inland water inherent optical properties and chlorophyll a using airborne hyperspectral imagery

International Journal of Applied Earth Observations and Geoinformation
The inversion of inherent optical properties (IOPs) and chlorophyll a (Chla) is one of the key objectives in water color remote sensing, and hyperspectral remote sensing with rich spectral information makes precise inversion possible.
Chao Niu, Kun Tan, Xue Wang, Peijun Du, Chen Pan   +4 more
doaj   +1 more source