Intensity Normalisation of GPR C-Scans
Remote Sensing, 2023 The three-dimensional (3D) ground-penetrating radar (GPR) has been widely applied in subsurface surveys and imaging, and the quality of the resulting C-scan images is determined by the spatial resolution and visualisation contrast.
Tess X. H. Luo +2 more
doaj +8 more sources
Quantifying the Effects of Normalisation of Airborne LiDAR Intensity on Coniferous Forest Leaf Area Index Estimations [PDF]
Remote Sensing, 2017 The range between a sensor and the target, the incidence angle, and the target reflectance, are known factors that can influence the intensity values of LiDAR data and consequently, its use in many applications.
Haotian You +3 more
doaj +7 more sources
Modelling inter-individual variability in acute and adaptive responses to interval training: insights into exercise intensity normalisation [PDF]
European Journal of Applied Physiology, 2023 Abstract Purpose To investigate the influence of exercise intensity normalisation on intra- and inter-individual acute and adaptive responses to an interval training programme. Methods Nineteen cyclists were split in two groups differing (only) in how exercise intensity was ...
Arthur Henrique Bossi +3 more
semanticscholar +4 more sources
Nonparametric Density Flows for MRI Intensity Normalisation [PDF]
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2018 Accepted for publication at MICCAI ...
Daniel Coelho de Castro, Ben Glocker
semanticscholar +7 more sources
Statistical mapping of maize bundle intensity at the stem scale using spatial normalisation of replicated images. [PDF]
PLoS ONE, 2014 The cellular structure of plant tissues is a key parameter for determining their properties. While the morphology of cells can easily be described, few studies focus on the spatial distribution of different types of tissues within an organ.
David Legland +2 more
doaj +8 more sources
Investigating Intensity Normalisation for PET Reconstruction With Supervised Deep Learning
2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD), 2023 Deep learning methods have shown great promise in the field of Positron Emission Tomography (PET) reconstruction, but the successful application of these methods depends heavily on the intensity scale of the images.
I. R.D. Singh +4 more
exaly +3 more sources
Fluorescence Intensity Normalisation: Correcting for Time Effects in Large-Scale Flow Cytometric Analysis [PDF]
Advances in Bioinformatics, 2009 A next step to interpret the findings generated by genome-wide association studies is to associate molecular quantitative traits with disease-associated alleles. To this end, researchers are linking disease risk alleles with gene expression quantitative trait loci (eQTL). However, gene expression at the mRNA level is only an intermediate trait and flow
Calliope A. Dendrou +5 more
openaire +5 more sources
Atmospheric Science Letters, 2022 Europe has been affected by record‐breaking heat waves in recent decades. Using station data and a gridded reanalysis as input, four commonly used heat wave indices, the heat wave magnitude index daily (HWMId), excess heat factor (EHF), wet‐bulb globe ...
Florian N. Becker +3 more
doaj +2 more sources
Normalisation of Paris agreement NDCs to enhance transparency and ambition
Environmental Research Letters, 2019 The Paris Agreement takes a bottom-up approach to tackling climate change with parties submitting pledges in the form of nationally determined contributions (NDCs).
Lewis C King, Jeroen C J M van den Bergh
doaj +2 more sources
Human action recognition using histogram of motion intensity and direction from multiple views
IET Computer Vision, 2016 This study presents a human action recognition system from multi‐view image sequences. The authors’ approach to human action recognition is based on an estimation of local motion from multiple camera views.
SungYong Chun, Chan‐Su Lee
doaj +2 more sources