Quality Control of Accumulated Fields by Applying Spatial and Temporal Constraints | Zendy

Valliappa Lakshmanan | Zendy; Madison L. Miller | Zendy; Travis M. Smith | Zendy

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Quality Control of Accumulated Fields by Applying Spatial and Temporal Constraints

Author(s) -

Valliappa Lakshmanan,

Madison L. Miller,

Travis M. Smith

Publication year - 2012

Publication title -

journal of atmospheric and oceanic technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.774

H-Index - 124

eISSN - 1520-0426

pISSN - 0739-0572

DOI - 10.1175/jtech-d-12-00128.1

Subject(s) - computer science , spatial coherence , coherence (philosophical gambling strategy) , noise (video) , impulse (physics) , data quality , data mining , quality (philosophy) , control (management) , real time computing , computer vision , artificial intelligence , image (mathematics) , statistics , mathematics , metric (unit) , philosophy , physics , operations management , epistemology , quantum mechanics , economics

Accumulating gridded fields over time greatly magnifies the impact of impulse noise in the individual grids. A quality control method that takes advantage of spatial and temporal coherence can reduce the impact of such noise in accumulation grids. Such a method can be implemented using the image processing techniques of hysteresis and multiple hypothesis tracking (MHT). These steps are described in this paper, and the method is applied to simulated data to quantify the improvements and to explain the effect of various parameters. Finally, the quality control technique is applied to some illustrative real-world datasets.

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