Results 31 to 40 of about 1,037 (242)
Spherical k-Nearest Neighbors Interpolation
CoRR, 2019 Geospatial interpolation is a challenging task due to real world data often being sparse, heterogeneous and inconsistent. For that matter, this work presents SkNNI, a spherical interpolation algorithm capable of working with such challenging geospatial data.
openaire +2 more sources
IMPROVEMENT OF DEM PRODUCED FROM SRTM90 BY USING MATLAB [PDF]
Port Said Engineering Research Journal, 2013 The main objective of this study was to improve the DEM produced from SRTM90 by using the interpolation methods existing in MATLAB software. There are three types available of interpolations; bicubic, bilinear, and nearest neighbor interpolation methods.
Ashraf Elkoushy
doaj +1 more source
General Data Search Algorithms for Earth Simulation Systems with Cyclic Boundaries
ISPRS International Journal of Geo-Information, 2022 Grid remapping is one of the most fundamental functions in Earth simulation systems, and is essentially a kind of data interpolation. The key to an efficient interpolation method is how to quickly find the relevant grid points required for interpolation.
Yu Cao +4 more
doaj +1 more source
Usage of spline interpolation in catheter-based cardiac mapping
, 2010 Due to their minimal invasiveness catheters are highly preferred in cardiac mapping techniques used in the source localization of rhythm disturbances in the heart.
Yilmaz, Bulent +2 more
core +1 more source
Quality Evaluation of Chromatic Interpolation Algorithms for Image Acquisition System
Journal of Aerospace Technology and Management, 2016 The main goal of the Libertad 2 mission is to take images of the Earth’s surface in the visible spectrum with a multispectral sensor and send them as a Bayer array.
Diana Carolina Morón Hernández +3 more
doaj +3 more sources
An Investigation of Interpolation Techniques to Generate 2D Intensity Image From LIDAR Data
IEEE Access, 2017 Light detection and ranging (LIDAR) has become a part and parcel of ongoing research in autonomous vehicles. LIDAR efficiently captures data during day and night alike; yet, data accuracy is affected in altered weather conditions.
Imran Ashraf, Soojung Hur, Yongwan Park
doaj +1 more source
Impact of image size reducing for image quality assesment
Системный анализ и прикладная информатика, 2020 The article describes studies of the effect of image reduction on the quantitative assessment of their quality. Image reduction refers to the proportional reduction of horizontal and vertical image resolutions in pixels.
Yu. I. Golub +2 more
doaj +1 more source
Application of imputation methods for missing values of PM10 and O3 data: Interpolation, moving average and K-nearest neighbor methods [PDF]
, 2021 Background: PIn air quality studies, it is very often to have missing data due to reasons such as machine failure or human error. The approach used in dealing with such missing data can affect the results of the analysis. The main aim of this study was
Parisa Saeipourdizaj, Parvin Sarbakhsh, +1 more
core
Error-reduction approach for corrosion measurements of pipeline inline inspection tools
Measurement + Control, 2019 Inline inspection tools that are used to scan the interior defects of gas and oil pipelines tend to suffer from measuring error due to their sizing accuracy. This error often causes an over- or under-estimation of the operating conditions of the pipeline,
Yaman Hamed +3 more
doaj +1 more source
Molecular Oncology, EarlyView.Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source