Results 161 to 170 of about 11,302,780 (290)

Low-Intervention Boundary-Risk Graph Calibration for Cross-Domain Few-Shot Hyperspectral Image Classification. [PDF]

Sensors (Basel)
Zhang Y, Fan Y, Wang W.
europepmc   +1 more source

CSFCNet: Cascaded Spatial-Frequency Convolutional Network for Hyperspectral Image Classification. [PDF]

Sensors (Basel)
Jiang F, Liu X, Li M, Nie T, Huang L.
europepmc   +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

Multi-spatial resolution hyperspectral image change detection network integrating feature difference structure. [PDF]

PLoS One
Xiao Y, Yu S, Li W, Xiao H, Chen Y, Zhou H, Yang L.   +6 more
europepmc   +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

Hyperspectral Imaging

, 2018
Anoop A. Krishnan, S.K. Saxena
  +5 more sources

DS-Mamba: Depthwise separable mamba for hyperspectral image classification. [PDF]

PLoS One
Wei L, Yang H, Yin Y, Qu Z, Zheng H.
europepmc   +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

Multiscale RGB-Guided Fusion for Hyperspectral Image Super-Resolution. [PDF]

J Imaging
Kolyszko M, Buzzelli M, Bianco S, Schettini R.   +3 more
europepmc   +1 more source