Results 41 to 50 of about 1,605,385 (193)

Customizing kernel functions for SVM-based hyperspectral image classification [PDF]

, 2008
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available algorithms.
Damper, R. I., Guo, B., Steve R. Gunn, Gunn, S. R., R. I. Damper, Baofeng Guo, Nelson, J. D. B., James D. B. Nelson   +7 more
core   +2 more sources

A Novel Methodology for Improving Plant Pest Surveillance in Vineyards and Crops Using UAV-Based Hyperspectral and Spatial Data

Sensors, 2018
Recent advances in remote sensed imagery and geospatial image processing using unmanned aerial vehicles (UAVs) have enabled the rapid and ongoing development of monitoring tools for crop management and the detection/surveillance of insect pests.
Fernando Vanegas, Dmitry Bratanov, Kevin Powell, John Weiss, Felipe Gonzalez   +4 more
doaj   +1 more source

WU-Net: A Weakly-Supervised Unmixing Network for Remotely Sensed Hyperspectral Imagery [PDF]

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Recently, enormous efforts have been made to improve the performance of the linear or nonlinear mixing model for hyperspectral unmixing, yet their ability to handle spectral variability and extract physically meaningful endmembers remains limited. Based on the powerful learning ability of deep learning, we propose a weakly-supervised unmixing network ...
Hong, Danfeng, Chanussot, Jocelyn, Yokoya, Naoto, Heiden, Uta, Heldens, Wieke, Zhu, Xiao Xiang   +5 more
openaire   +3 more sources

Micromachined Double‐Membrane Mechanically Tunable Metamaterial for Thermal Infrared Filtering

Advanced Photonics Research, Volume 6, Issue 5, May 2025.
Herein, a mechanically tunable double‐layer plasmonic metamaterial leveraging the extraordinary optical transmission effect observed in subwavelength arrays of openings within thin metal layers is presented. The concept is experimentally validated by integrating the proposed metamaterial structure into an electrostatic parallel‐plate actuator to create
Oleg Bannik, Fedor Kovalev, Mingkai Liu, Michal Zawierta, Dilusha Silva, Lorenzo Faraone, Mariusz Martyniuk, Ilya Shadrivov   +7 more
wiley   +1 more source

Hyperspectral Remote Sensing of Phytoplankton Species Composition Based on Transfer Learning

Remote Sensing, 2019
Phytoplankton species composition research is key to understanding phytoplankton ecological and biogeochemical functions. Hyperspectral optical sensor technology allows us to obtain detailed information about phytoplankton species composition.
Qing Zhu, Fang Shen, Pei Shang, Yanqun Pan, Mengyu Li   +4 more
doaj   +1 more source

Deep‐Learning‐Driven High‐Fidelity In Vivo Hyperspectral Fluorescence Imaging Under Extreme Photon‐Limited Conditions

Advanced Science, EarlyView.
Highly overlapping fluorescent signals become distinguishable in photon‐limited living organisms via advanced imaging with intelligent reconstruction. The resulting in vivo hyperspectral imaging capability reveals nanoplastic uptake and circulation in live zebrafish, providing a new approach for studying complex biological and environmental processes ...
Renjian Li, Shutao Wu, Kaixiang Li, Zhenyu An, Yuwen Ben, Guiye LI, Sunil Kumar, James Mcginty, Tawfique Hasan, Songnian Fu, Meng Zhang, LingLing Chen   +11 more
wiley   +1 more source

Enviromics and Abiotic Enviromics: Enhancing Stress Biology and Plant Resilience Breeding

Advanced Science, EarlyView.
Environmental stressors are captured through high‐throughput envirotyping and integrated into an enviromic framework with genomic, transcriptomic, phenomic, and environmental data. AI/ML models enable prediction and guide marker‐assisted selection, genomic selection, genome editing, and gene pyramiding toward improved abiotic stress tolerance, yield ...
Guangchao Sun, Jose Luis Araus, James C. Schnable, Jie Xu, Henry T. Nguyen, Yunbi Xu, Yanli Lu   +6 more
wiley   +1 more source

Cross‐scale Material‐Structure Synergy for 2D Metamaterials: Toward Customizable Intelligent Electromagnetic Manipulation in Multiphysics Fields

Advanced Science, EarlyView.
Recent advances in metasurface‐enabled low‐observable technologies are reviewed from the perspective of cross‐scale material–structure synergy. Electromagnetic, thermal, optical, and acoustic stealth are highlighted together with dynamic tuning, programmable coding, data‐driven inverse design, artificial intelligence, multispectral compatibility, and ...
Shuhao Wang, Xing Yang, Liping Liu, Yang Peng, Yangyang Wang, Hualiang Lv   +5 more
wiley   +1 more source

Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context

Remote Sensing, 2018
In the last few decades, researchers have developed a plethora of hyperspectral Earth Observation (EO) remote sensing techniques, analysis and applications.
Julie Transon, Raphaël d’Andrimont, Alexandre Maugnard, Pierre Defourny   +3 more
doaj   +1 more source

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source