Multi-Scale Representation of Ocean Flow Fields Based on Feature Analysis

Ai, Bo; Sun, De; Liu, Yanmei; Li, Chengming; Yang, Fanlin; Yin, Yong; Tian, Huibo

doi:10.3390/ijgi9050307

Cited by 2 publications

(1 citation statement)

References 23 publications

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“…There are extensive studies focusing on the topic of multi-scale characteristics analysis in geography [22,23], which have explored in detail about the multi-scale characteristics of spatial-temporal objects [24][25][26]. The trajectory, as the representation of the spatial-temporal characteristics of physical objects, exhibits multi-scale characteristics.…”

Section: Multi-scale Modeling Of Trajectorymentioning

confidence: 99%

Semantic Modeling of Ship Behavior in Cognitive Space

Song

Wen

Tao

et al. 2022

JMSE

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Ship behavior is the semantic expression of corresponding trajectory in spatial-temporal space. The intelligent identification of ship behavior is critical for safety supervision in the waterborne transport. In particular, the complicated behavior reflects the long-term intentions of a ship, but it is challenging to recognize it automatically for computers without a proper understanding. For this purpose, this study provides a method to model the behavior for computers from the perspective of knowledge modeling that is explainable. Based on our previous work, a semantic model for ship behavior representation is given considering the multi-scale features of ship behavior in cognitive space. Firstly, the multi-scale features of ship behavior are analyzed in spatial-temporal dimension and semantic dimension individually. Then, a method for multi-scale behaviors modeling from the perspective of semantics is determined, which divides the behavior scale into four sub-scales in cognitive space, considering spatial and temporal dimensions: action, activity, process, and event. Furthermore, an ontology model is introduced to construct the multi-scale semantic model for ship behavior, where behaviors with different semantic scales are expressed using the functions of ontology from a microscopic perspective to a macroscopic perspective consecutively. To validate the model, a case study is conducted in which ship behavior with different scales occurred in port water areas. Typical behaviors, which include leveraging the axioms expression and semantic web rule language (SWRL) of the ontology, are then deduced using a reasoner, such as Pellet. The results show that the model is reasonable and feasible to represent multi-scale ship behavior in various scenarios and provides the potential to construct a smart supervision network for maritime authorities.

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Section: Multi-scale Modeling Of Trajectorymentioning

confidence: 99%

Semantic Modeling of Ship Behavior in Cognitive Space

Song

Wen

Tao

et al. 2022

JMSE

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Particle System-Based Multi-Hierarchy Dynamic Visualization of Ocean Current Data

Shi

Wen³

et al. 2021

IJGI

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In three-dimensional (3D) digital Earth environment, there are many problems when using the existing methods to express the ocean current, such as uneven distribution of seed points, density leap in scale change and messy visualization. In this paper, a new dynamic visualization method of multi-hierarchy flow field based on particle system is proposed; Specifically, three typical spherical uniform algorithms are studied and compared, and the streamline becoming denser from the equator to the poles on globe is eliminated by placing seed points using Marsaglia polar method as the most efficient. In addition, a viewport-adaptive adjustment algorithm is proposed, which realizes that the density of particles is always suitable to any viewing distance during continuous zooming. To solve the visual representation deficiency, we design a new dynamic pattern to enhance the expression and perception of current, which makes up for the shortcoming of the arrow glyph and streamline methods. Finally, a prototype of GPU parallel and viewport coherence is achieved, whose feasibility and effectiveness are verified by a series of experiments. The results show that our method can not only represent ocean current data clearly and efficiently, but also has outstanding uniformity and hierarchy effect.

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Multi-Scale Representation of Ocean Flow Fields Based on Feature Analysis

Cited by 2 publications

References 23 publications

Semantic Modeling of Ship Behavior in Cognitive Space

Semantic Modeling of Ship Behavior in Cognitive Space

Particle System-Based Multi-Hierarchy Dynamic Visualization of Ocean Current Data

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