Results 111 to 120 of about 34,632 (306)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingDeploying image target detection algorithms on embedded devices is critical. Previous studies assumed that fewer model parameters and computations improved the inference speed. However, many models with few parameters and computations have slow inference
Boya Zhao +5 more
doaj +1 more source
Supervised nonlinear spectral unmixing using a post-nonlinear mixing model for hyperspectral imagery [PDF]
, 2011 This paper presents a nonlinear mixing model for hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are nonlinear functions of pure spectral components contaminated by an additive white Gaussian noise.
Altmann, Yoann +9 more
core +1 more source
Deep Underground Science and Engineering, EarlyView.A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li +7 more
wiley +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingReal-time local anomaly detection needs to be performed simultaneously with hyperspectral image acquisition. However, the discussion on the scope of using existing data, mainly focuses on line-by-line data acquisition methods and does not address pixel ...
Shihui Liu, Meiping Song
doaj +1 more source
FlexMat, EarlyView.This review organizes flexible wearable electronics for cardiovascular monitoring into four interconnected information layers: surface electrophysiology, hemodynamic sensing, vascular imaging, and biofluid biomarker analysis. This framework clarifies how electrical rhythm, vascular loading, structural and flow‐related features, and biochemical states ...
Qiao Chen +5 more
wiley +1 more source
Hyperspectral Imaging for Peach Ripening Assessment
, 2010 The present research is focused on the application of artificial vision to peach ripening assessment, avoiding multiplicative and additive effect. Original images were acquired with a hyperspectral camera.
Diezma Iglesias, Belen +3 more
core
Remote sensing of strong emotions using electro-optical imaging technique [PDF]
, 2013 ©Cranfield UniversityThis thesis reports a summary of the PhD programme for the assessment of person‘s emotional anxiety using Electro-optical technology. The thesis focuses mainly on the understanding of fundamental properties of physiological responses
Hong, Kan
core
Nonlinear spectral unmixing of hyperspectral images using Gaussian processes [PDF]
, 2012 This paper presents an unsupervised algorithm for nonlinear unmixing of hyperspectral images. The proposed model assumes that the pixel reflectances result from a nonlinear function of the abundance vectors associated with the pure spectral components ...
Altmann, Yoann +5 more
core +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
Superpixel-Guided Matrix-Valued Kernel Functions for Multiscale Nonlinear Hyperspectral Unmixing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingHyperspectral unmixing is a critical challenge in the analysis of hyperspectral remote sensing data. Due to the complex interactions between incident light and materials, which are significantly influenced by the three-dimensional geometry of the scene ...
Xiu Zhao, Meiping Song
doaj +1 more source