In precision agriculture (PA), the evaluation of soil spatial variability to optimize crop management requires dense sampling. This costly activity often results in sparser sampling grids and may ...

This study addresses the challenge of efficiently and accurately computing three-dimensional undulating surface magnetic field data, which has become increasingly difficult with the development of ...

The former has an interpolate method, and the latter has interpolate_stable method, with the same signature. They also have different requirements (former wants Reflect and also fn blend ...

Abstract: In recent years, with the continuous development of the Internet of Things (IoT) technology, smart devices, such as smart homes and smart phones, have been widely used, so the demand for ...

In case we have a series that ends (or starts) with null values, both linear and nearest interpolation will not be able to fill these values. There could be a new interpolation named "nearest non-null ...

In imaging, interpolation is a mathematical operation that is used to perceive a coloured image as seen in the real world. Interpolation also drives the advanced image processing capabilities of ISPs.

Abstract: This paper presents a comparison of four interpolation techniques for interpolation of spacecraft solar radiation data characteristics. As radiative characteristics are functions of ...

2024 IEEE Workshop on Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks Isosurface visualization is fundamental for exploring and analyzing 3D volumetric data.