Results 81 to 90 of about 49,813 (252)
Remote Sensing, 2019 This paper assesses the performance of DoTRules—a dictionary of trusted rules—as a supervised rule-based ensemble framework based on the mean-shift segmentation for hyperspectral image classification.
Majid Shadman Roodposhti +3 more
doaj +1 more source
Food Safety and Health, EarlyView.The global patent landscape of mushroom‐derived functional food was widely analyzed, and AI‐integrated approaches realizing cost‐effective and reliable exploration of functional foods derived from mushrooms were explored. ABSTRACT Global health concerns and the increasing demand for nourishment have collectively driven the rising demand for functional ...
Xihong Zhao +5 more
wiley +1 more source
Bioanalytical TERS and Advanced Data Processing Methods
Journal of Raman Spectroscopy, EarlyView.Tip‐enhanced Raman spectroscopy delivers label‐free, subnanometer vibrational imaging of biological systems. Recent advances in instrumentation, data analysis, and ambient/liquid operation enable surface‐selective mapping of molecular heterogeneity in proteins, nucleic acids, membranes, and viruses, positioning TERS as a powerful platform for nanoscale
Sarika Joshi +6 more
wiley +1 more source
SSATNet: Spectral-spatial attention transformer for hyperspectral corn image classification
Frontiers in Plant ScienceHyperspectral images are rich in spectral and spatial information, providing a detailed and comprehensive description of objects, which makes hyperspectral image analysis technology essential in intelligent agriculture.
Bin Wang +7 more
doaj +1 more source
Desertification Risk: Bibliometric Analysis and Future Research Directions
Land Degradation &Development, EarlyView.ABSTRACT Desertification, driven by climatic and anthropogenic factors, is one of the most pressing global environmental challenges, causing significant economic, ecological, and social consequences. A bibliometric analysis was performed to identify research trends and gaps in the desertification risk topic.
Fatima‐Ezzahrae Imam +5 more
wiley +1 more source
International Journal of Advanced Robotic Systems, 2017 Hyperspectral remote sensing technology becomes more and more popular in recent years which can be applied to satellite, plane, and flying robots. An important application of hyperspectral remote sensing is the classification of ground objects.
Binge Cui +3 more
doaj +1 more source
A Spectral-Texture Kernel-Based Classification Method for Hyperspectral Images
Remote Sensing, 2016 Classification of hyperspectral images always suffers from high dimensionality and very limited labeled samples. Recently, the spectral-spatial classification has attracted considerable attention and can achieve higher classification accuracy and ...
Yi Wang, Yan Zhang, Haiwei Song
doaj +1 more source
Cross-Domain CNN for Hyperspectral Image Classification [PDF]
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018 IGARSS ...
Lee, Hyungtae +2 more
openaire +2 more sources
Uncertainty assessment for a novel optically shallow water radiometric acquisition platform
Limnology and Oceanography: Methods, EarlyView.Abstract We present a novel motorized platform, a custom‐built jet‐ski designed for acoustic and radiometric measurements in optically shallow coastal waters. This platform integrates in‐water radiometers with single‐beam and multi‐beam acoustic sensors, along with a suite of active and passive instruments (conductivity‐temperature‐depth, fluorescence,
Raphaël Mabit +2 more
wiley +1 more source
Weaving for action: Transformative change in biodiversity monitoring
People and Nature, EarlyView.Abstract The Post‐2020 Kunming‐Montreal Biodiversity Framework aims to drive transformative change to halt biodiversity loss. To track progress toward its goals and targets, a dedicated monitoring framework has been established. The current biodiversity monitoring framework relies on a set of indicators developed through a unidirectional process of ...
Carol X. Garzon‐Lopez +9 more
wiley +1 more source