Results 171 to 180 of about 5,351 (266)

Hierarchical Spatial-Spectral Feature Extraction with Long Short Term Memory (LSTM) for Mineral Identification Using Hyperspectral Imagery. [PDF]

Sensors (Basel), 2020
Zhao H, Deng K, Li N, Wang Z, Wei W.
europepmc   +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

Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine. [PDF]

Sensors (Basel), 2020
Fang X, Cai Y, Cai Z, Jiang X, Chen Z.
europepmc   +1 more source

Classifying Hyperspectral Imageries

International Journal for Research in Applied Science and Engineering Technology, 2017
openaire   +1 more source

Soil wetting and drying processes influence stone artefact distribution in clay‐rich soils: A case study from Middle Gidley Island in Murujuga, northwest Western Australia

Archaeometry, EarlyView.
Abstract Soils that contain swelling clay minerals (e.g., montmorillonite) expand and contract during wetting and drying, causing movement within the soil profile. This process, known as argilliturbation, can alter artefact distributions, destroy stratigraphy and complicate the interpretation of archaeological deposits.
Caroline Mather, Matthias Leopold, Kaitlin Sullivan, Kane Ditchfield, Tom Horrocks, Luke Gliganic, Emma Beckett, Diana Patalwala, Emielda Yusiharni, Michael Smirk, William Hiscock, Jo McDonald   +11 more
wiley   +1 more source

Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning. [PDF]

Sensors (Basel), 2020
Sun C, Feng L, Zhang Z, Ma Y, Crosby T, Naber M, Wang Y.   +6 more
europepmc   +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

Adaptive Sampling for BRDF Acquisition

Computer Graphics Forum, EarlyView.
We propose a data‐driven adaptive sampling strategy that predicts the optimal sampling pattern and count for BRDF acquisition from a single image, reducing capture time while preserving quality. Abstract The bidirectional reflectance distribution function (BRDF) describes the ratio of incoming radiance to outgoing radiance for all possible pairs of ...
Behnaz Kavoosighafi, Saghi Hajisharif, Jonas Unger, Ehsan Miandji   +3 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

KPI‐NeRF: Hyperspectral Neural Radiance Fields from a Single Kaleidoscopic Plenoptic Image

Computer Graphics Forum, EarlyView.
KPI‐NeRF reconstructs hyperspectral light field images from a single kaleidoscopic plenoptic image. By leveraging neural radiance fields, it enables high‐quality spectral and angular de‐multiplexing for dynamic scene capture. Abstract Plenoptic imaging has excessive sampling requirements associated with the high dimensionality of the desired data.
Erqi Huang, John Restrepo, Xun Cao, Ivo Ihrke   +3 more
wiley   +1 more source