Results 81 to 90 of about 1,605,385 (193)

PCCN-MSS: Parallel Convolutional Classification Network Combined Multi-Spatial Scale and Spectral Features for UAV-Borne Hyperspectral With High Spatial Resolution Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral remote sensing images with high spatial resolution (H2 imagery) have an abundant spatial-spectral information, holding tremendous potential for remote sensing fine-grained monitoring and classification.
Linhuan Jiang, Zhen Zhang, Bo-Hui Tang, Lehao Huang, Bingru Zhang   +4 more
doaj   +1 more source

Efficient Geometric Correction Workflow for Airborne Hyperspectral Images through DEM-Driven Correction Techniques [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Geometric correction, a pivotal step in the preprocessing of airborne remote sensing imagery, is critical for ensuring the accuracy of subsequent quantitative analyses.
J. Yu, J. Yu, Y. Li, D. Ge, D. Ge, Y. Chen, Y. Chen, Q. Wu, Q. Wu, Y. Ma, Y. Ma   +10 more
doaj   +1 more source

Integrating large mammalian herbivores into Dynamic Global Vegetation Models: Status and next steps

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Zoogeochemistry, the study of how animals influence elemental cycling within ecosystems, bridges the fields of zoology, ecology and biogeochemistry. Yet, most terrestrial ecosystem models, especially Dynamic Global Vegetation Models (DGVMs), remain largely plant‐centric
Yue Cheng, Joanne Alice O'Keeffe, Andrew J. Abraham, Jesper Riis Christiansen, Frederik Nygaard Philipsen, Klaus Steenberg Larsen, Fabio Berzaghi, Carsten W. Mueller, Lars Vesterdal, Jeppe A. Kristensen, Elizabeth Le Roux   +10 more
wiley   +1 more source

Nonlinearity detection in hyperspectral images using a polynomial post-nonlinear mixing model [PDF]

, 2012
This paper studies a nonlinear mixing model for hyperspectral image unmixing and nonlinearity detection. The proposed model assumes that the pixel reflectances are nonlinear functions of pure spectral components contaminated by an additive white Gaussian
Altmann, Yoann, Altmann, Yoann; id_orcid, Dobigeon, Nicolas, Tourneret, Jean-Yves   +3 more
core   +1 more source

A validated 3D point‐cloud analysis workflow for the creation of seagrass canopy height models

Methods in Ecology and Evolution, EarlyView.
Abstract Seagrasses support highly productive ecosystems in both temperate and tropical waters and provide essential ecosystem services. Despite their importance, the vertical structure of seagrasses (i.e. the canopy) remains poorly characterised at the microscale, even though it is a strong predictor of ecological processes that influence both ...
Daniele Ventura
wiley   +1 more source

Illumination invariance and shadow compensation via spectro-polarimetry technique [PDF]

, 2013
A major problem for obtaining target reflectance via hyperspectral imaging systems is the presence of illumination and shadow effects. These factors are common artefacts, especially when dealing with a hyperspectral imaging system that has sensors in the
Jackman, James, Soori, Umair, Hong, Kan, Ibrahim, Izzati, Richardson, Mark A., Yuen, Peter W. T., Chen, Tong   +6 more
core   +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

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

HDMba: Hyperspectral Remote Sensing Imagery Dehazing with State Space Model

CoRR
Haze contamination in hyperspectral remote sensing images (HSI) can lead to spatial visibility degradation and spectral distortion. Haze in HSI exhibits spatial irregularity and inhomogeneous spectral distribution, with few dehazing networks available.
Hang Fu, Genyun Sun, Yinhe Li, Jinchang Ren, Aizhu Zhang, Cheng Jing, Pedram Ghamisi   +6 more
openaire   +3 more sources

Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches [PDF]

, 2012
Imaging spectrometers measure electromagnetic energy scattered in their instantaneous field view in hundreds or thousands of spectral channels with higher spectral resolution than multispectral cameras.
Paul Gader, Jocelyn Chanussot, Qian Du, Gader, Paul, Antonio Plaza, José M. Bioucas-dias, Chanussot, Jocelyn, Dobigeon, Nicolas, Plaza, Antonio, Du, Qian, Mario Parente, Bioucas-Dias, José M., Nicolas Dobigeon, Parente, Mario   +13 more
core   +1 more source