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Hexagonal Convolutional Neural Networks for Hexagonal Grids [PDF]

open access: yesIEEE Access, 2019
Hexagonal grids use a hierarchical subdivision tessellation to cover the entire plane or sphere. Due to the 6-fold rotational symmetry, hexagonal grids have some advantages (e.g.
Junren Luo
exaly   +4 more sources

A Precision Evaluation Index System for Remote Sensing Data Sampling Based on Hexagonal Discrete Grids

open access: yesISPRS International Journal of Geo-Information, 2021
With the rapid development of earth observation, satellite navigation, mobile communication, and other technologies, the order of magnitude of the spatial data we acquire and accumulate is increasing, and higher requirements are put forward for the ...
Yue Ma, Guoqing Li, Xiaochuang Yao
exaly   +4 more sources

SLAM on the Hexagonal Grid

open access: yesSensors, 2022
Hexagonal grids have many advantages over square grids and could be successfully used in mobile robotics as a map representation. However, there is a lack of an essential algorithm, namely, SLAM (simultaneous localization and mapping), that would ...
Piotr Duszak
doaj   +4 more sources

Two Stage Implicit Method on Hexagonal Grids for Approximating the First Derivatives of the Solution to the Heat Equation

open access: yesFractal and Fractional, 2021
The first type of boundary value problem for the heat equation on a rectangle is considered. We propose a two stage implicit method for the approximation of the first order derivatives of the solution with respect to the spatial variables. To approximate
Suzan Cival Buranay
exaly   +4 more sources

Research and Construction of a Global Hexagonal Marine Gravity Gradient Reference Map for Navigation

open access: yesGeofluids, 2023
A high-precision marine gravity gradient reference map is key to enabling underwater gravity gradient matching navigation. At present, the construction of the reference maps is based on quadrilateral geographic grids. However, quadrilateral grids lead to
Huang Yan   +7 more
doaj   +2 more sources

Spatial prediction of the probability of liver fluke infection using a geographic weighted regression (GWR) model in waterways connecting the Mekong River, Sakon Nakhon of Thailand [PDF]

open access: yesOne Health
Introduction: Liver flukes (Opisthorchis viverrine, OV) infections in water sources continue to persist in Sakon Nakhon Province, which is linked to the Mekong River.
Benjamabhorn Pumhirunroj   +5 more
doaj   +2 more sources

Blue-noise halftoning for hexagonal grids [PDF]

open access: yesIEEE Transactions on Image Processing, 2006
In this paper, we closely scrutinize the spatial and spectral properties of aperiodic halftoning schemes on rectangular and hexagonal sampling grids. Traditionally, hexagonal sampling grids have been shunned due to their inability to preserve the high-frequency components of blue-noise dither patterns at gray-levels near one-half, but as will be shown,
Daniel L Lau, Robert Ulichney
exaly   +3 more sources

Enhancing network longevity in WSNs via a two-layer hierarchical routing protocol with dual-hexagonal topology [PDF]

open access: yesScientific Reports
Wireless Sensor Networks (WSNs) face a critical challenge in energy efficiency and reliable data transmission. The Clustering of networks plays an important role in enhancing network longevity.
Savita Jadhav   +2 more
doaj   +2 more sources

Geostrophic Adjustment on Hexagonal Grids

open access: yesMonthly Weather Review, 2002
A simple two-dimensional linearized model of the atmosphere is used to investigate behavior of the geostrophic adjustment process on five selected horizontal hexagonal grids. This study shows that hexagonal lattices have some advantages over commonly used square grids.
Slobodan Nickovic, Milivoj B Gavrilov
exaly   +2 more sources

HEXAGONAL GRIDS APPLIED TO CLUSTERING LOCATIONS IN WEB MAPS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
One of the popular ways to clutter reduction techniques is to combine neighboring points into one marker that somehow shows that it contains multiple entities – this way is called clustering.
A. Beresnev, A. Semenov, E. Panidi
doaj   +1 more source

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