Results 61 to 70 of about 4,953 (252)
Advanced Intelligent Systems, EarlyView.A distributed wireless sensing framework enables noninvasive monitoring of plant salinity stress through leaf reflectance measurements acquired with portable optical sensors. The collected data are processed using TinyML‐based neural network models deployed at the edge, enabling accurate, real‐time, and low‐cost classification of salinity levels, while
Ali Ahmad +4 more
wiley +1 more source
Classification Task-Driven Hyperspectral Band Selection via Interpretability From XGBoost
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingBand selection (BS) identifies key bands from hyperspectral imagery (HSI) for specific downstream tasks, playing a pivotal role in practical applications.
Xiaodi Shang +4 more
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Infinite Latent Feature Selection Technique for Hyperspectral Image Classification
Jurnal Elektronika dan Telekomunikasi, 2019 The classification process is one of the most crucial processes in hyperspectral imaging. One of the limitations in classification process using machine learning technique is its complexities, where hyperspectral image format has a thousand band that can
Tajul Miftahushudur +2 more
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Open Geosciences, 2020 Swarm intelligence algorithms have been widely used in the dimensional reduction of hyperspectral remote sensing imagery. The ant colony algorithm (ACA), the clone selection algorithm (CSA), particle swarm optimization (PSO), and the genetic algorithm ...
Xiaohui Ding +4 more
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Applications in Plant Sciences, EarlyView.Abstract Premise Road verges function as refuges for semi‐natural species, but they can also facilitate the spread of non‐native plants such as Lupinus polyphyllus. Unmanned aerial vehicle (UAV)–based remote sensing is a promising tool for mapping these species; however, its application in roadside contexts remains limited.
Elin L. Blomqvist +3 more
wiley +1 more source
Attend in Bands: Hyperspectral Band Weighting and Selection for Image Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019 Hyperspectral remote sensing sensors have the ability to capture a wide range of spectrum of ground objects with hundreds to thousands of bands. The obtained hyperspectral images contain more detailed spectral information than conventional panchromatic or color images.
Jing Wang 0062 +2 more
openaire +3 more sources
Archaeological Prospection, EarlyView.ABSTRACT We investigated the Písečný vrch (Czech Republic), a site exploited for quartz mining in both prehistoric times and the 20th century. Due to their morphological similarity across all mining periods, the differentiation between pits with archaeological potential and recent ones is challenging.
Jan Fišer +5 more
wiley +1 more source
An Efficient Clustering Method for Hyperspectral Optimal Band Selection via Shared Nearest Neighbor
Remote Sensing, 2019 A hyperspectral image (HSI) has many bands, which leads to high correlation between adjacent bands, so it is necessary to find representative subsets before further analysis.
Qiang Li, Qi Wang, Xuelong Li
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Investigating Pompeii Subsoil Using Geomatics and Geophysics Merged Analyses
Archaeological Prospection, EarlyView.ABSTRACT The archaeological site of Pompeii represents an exceptional context for the application of non‐invasive and integrated investigation methods aimed at enhancing the understanding of both exposed and buried remains. This study presents the results of multidisciplinary research conducted in the Palestra Grande site, a large and strategically ...
Valentina Santoro +9 more
wiley +1 more source