Redirigiendo al acceso original de articulo en 19 segundos...
ARTÍCULO
TITULO

Indexing Mixed Aperture Icosahedral Hexagonal Discrete Global Grid Systems

Rui Wang    
Jin Ben    
Jianbin Zhou and Mingyang Zheng    

Resumen

Discrete global grid systems (DGGSs) are an emerging multiresolution 3D model used to integrate and analyze big earth data. The characteristic of multiresolution is usually realized by hierarchically subdividing cells on the sphere using certain refinement. This paper introduces mixed aperture three- and four- icosahedral hexagonal DGGSs using two types of refinement, the various combinations of which can provide more resolutions compared with pure aperture hexagonal DGGSs and can flexibly design the aperture sequence according to the target resolutions. A general hierarchy-based indexing method is first designed, and related indexing arithmetics and algorithm are developed based on the indexing method. Then, the grid structure on the surface of the icosahedron is described and by projection spherical grids are obtained. Experiments show that the proposed scheme is superior to pure aperture schemes in choosing grid resolutions and can reduce the data volume by 38.5% in representing 1-km resolution raster dataset; using the proposed indexing arithmetics to replace spherical geometry operations in generating discrete spherical vector lines based on hexagonal cells can improve the generation efficiency.

 Artículos similares

       
 
Huajun Meng, Jihuan Wu, Chunshan Zhang and Kungang Wu    
Mine landslides are geological disasters with the highest frequency and cause the greatest harm worldwide. This typically causes significant casualties and damage to property. The study of the formation mechanisms and kinematic processes of mine landslid... ver más
Revista: Water

 
Qun Wang, Yufei Gao, Tingting Gong, Tiejun Liu, Zhengwei Sui, Jinghui Fan and Zhenyu Wang    
The Xiaolangdi Dam is a key project for the control and development of the Yellow River. It bears the functions of flood control, controlling water and sediment in the lower reaches, ice prevention, industrial and agricultural water supply, power generat... ver más
Revista: Water

 
Rakesh John Amala Arokia Nathan, Indrajit Kurmi and Oliver Bimber    
We present Inverse Airborne Optical Sectioning (IAOS), an optical analogy to Inverse Synthetic Aperture Radar (ISAR). Moving targets, such as walking people, that are heavily occluded by vegetation can be made visible and tracked with a stationary optica... ver más
Revista: Drones

 
Mingke Li, Heather McGrath and Emmanuel Stefanakis    
Among the most prevalent natural hazards, flooding has been threatening human lives and properties. Robust flood simulation is required for effective response and prevention. Machine learning is widely used in flood modeling due to its high performance a... ver más

 
Hebing Zhang, Hongyi Yuan, Weibing Du and Xiaoxuan Lyu    
Although vegetation index time series from optical images are widely used for crop mapping, it remains difficult to obtain sufficient time-series data because of satellite revisit time and weather in some areas. To address this situation, this paper cons... ver más