Results 91 to 100 of about 49,813 (252)

Hyperspectral Image Classification Using MiniVGGNet

, 2021
Hyperspectral image classification is widely used in the analysis of remote sensing images. Recently, deep learning has been seen as the most effective method for hyperspectral image classification. Especially, Convolutional neural networks (CNN) are getting more and more attention in this field.
FIRAT, Hüseyin, UÇAN, Murat, HANBAY, Davut   +2 more
openaire   +2 more sources

Life after herbarium digitisation: Physical and digital collections, curation and use

PLANTS, PEOPLE, PLANET, EarlyView.
Societal Impact Statement Collections of dried plant specimens (herbaria) provide an invaluable resource for the study of many areas of scientific interest and conservation globally. Digitisation increases access to specimens and metadata, enabling efficient use across a broad spectrum of research.
Alan James Paton, Gabriel K. Ameka, Alexandre Antonelli, Alex Asase, Russell L. Barrett, Ann Bogaerts, Domingos Cardoso, Mark Carine, Alastair Culham, Syadwina H. Dalimunthe, Nina Davies, Sofie De Smedt, Sebebe Demissew, Rafaela Campostrini Forzza, Quentin Groom, Elspeth M. Haston, Abdulrokhman Kartonegoro, Paul Kersey, Isabel Larridon, Jana Leong‐Škorničková, Lucia G. Lohmann, Jehova Lourenco Jr., Hannah McPherson, Muthama Muasya, Nicky Nicolson, Marcelo Pace, Jack F. Plummer, Hélène Ralimanana, Himmah Rustiami, Hervé Sauquet, Emily B. Sessa, Eric Smets, Alex Sumadijaya, Jordan Teisher, Daniel C. Thomas, Eka F. Tihurua, Janine E. Victor, Sarah T. Wagner, Quiang Wang, Andrew Young   +39 more
wiley   +1 more source

Hyperspectral Remote Sensing Image Classification With CNN Based on Quantum Genetic-Optimized Sparse Representation

IEEE Access, 2020
Due to the characteristics of the spectrum integration, information redundancy, spectrum mixing phenomenon and nonlinearity of the hyperspectral remote sensing images, it is a major challenging task to classify the hyperspectral remote sensing images ...
Huayue Chen, Fang Miao, Xu Shen
doaj   +1 more source

Dependent component analysis for hyperspectral image classification

SPIE Proceedings, 2009
Independent component analysis (ICA) has been widely used for hyperspectral image classification in an unsupervised fashion. It is assumed that classes are statistically mutual independent. In practice, this assumption may not be true. In this paper, we apply dependent component analysis (DCA) to unsupervised classification, which does not require the ...
Du, Qian, Kopriva, Ivica
openaire   +2 more sources

From wild to tamed: Reimagining novel crops through omics and local plant diversity

PLANTS, PEOPLE, PLANET, EarlyView.
The global food system faces growing pressure from climate change, biodiversity loss, and rising nutritional demands. Agriculture has increased yields but reduced crop diversity, flavor, and nutritional quality, leaving societies vulnerable and dependent on a narrow set of staple species.
Alexandra Sanfeliu Meliá, Pablo D. Cárdenas   +1 more
wiley   +1 more source

Comparison of Recycled Polypropylene Sourced From Food and Nonfood Applications for Direct Food Contact Use

Packaging Technology and Science, EarlyView.
Utilisation of postconsumer recycled (PCR) plastic for food contact has safety concerns due to the potential presence of unapproved intentionally/non‐intentionally added substances, which can pose health and environmental risks if not removed during recycling.
Khairun Tumu, Keith Vorst, Greg Curtzwiler   +2 more
wiley   +1 more source

Multiscale Deep Spatial Feature Extraction Using Virtual RGB Image for Hyperspectral Imagery Classification

Remote Sensing, 2020
In recent years, deep learning technology has been widely used in the field of hyperspectral image classification and achieved good performance. However, deep learning networks need a large amount of training samples, which conflicts with the limited ...
Liqin Liu, Zhenwei Shi, Bin Pan, Ning Zhang, Huanlin Luo, Xianchao Lan   +5 more
doaj   +1 more source

All‐sky assimilation impacts of the Tomorrow.io microwave sounder constellation on global weather forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Key Findings: An assimilation methodology is established for the Tomorrow.io microwave sounder (TMS) flying on CubeSats in sun‐synchronous and inclined orbits, and in all cloud scenes. The TMS has a significant impact on weather forecast lead times up to 3 days in the Tropics in a research‐quality numerical weather prediction setting, and yields water ...
Jonathan J. Guerrette, Ryan Honeyager, Stephen Joseph Munchak, Xiaoxu Tian   +3 more
wiley   +1 more source

Operational all‐sky assimilation of geostationary infrared water‐vapour channels in the regional ICON‐D2 model with an ensemble Kalman filter

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Though many studies have shown potential benefit in assimilating all‐sky infrared radiances from geostationary satellites, at numerical weather prediction centres it is still common practice to assimilate clear‐sky radiances. We present the operationalization of the all‐sky assimilation of the spinning enhanced visible and infrared imager (SEVIRI ...
Annika Schomburg, Christoph Schraff, Christina Köpken‐Watts, Klaus Stephan, Liselotte Schühl, Robin Faulwetter   +5 more
wiley   +1 more source

Control System for the Navigation of the Agricultural Robots: A Review

Journal of Field Robotics, EarlyView.
ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía, Hugo Rafacho Fernandes, Daniel Albiero, Angel Pontin Garcia   +3 more
wiley   +1 more source