NDLI: A unified prediction method for heterogeneous weather radar patterns

Content Provider	IEEE Xplore Digital Library
Author	Sakaino, H.
Copyright Year	2002
Description	Author affiliation: NTT Commun. Sci. Labs., NTT Corp., Tokyo, Japan (Sakaino, H.)
Abstract	This paper describes a prediction method, the Dynamics Texture (DT) method, of three different radar echo image sequences based on partial difference equations (PDEs) and an extended optical flow over time. Three image patterns are observed from precipitation-, lightning-, and satellite-radar sites. Such patterns exhibit development, disappearing, and fusion processes with local discontinuities. The DT method can calculate future dynamic pattern changes over time from past sequences of these image sequences by making use of a changeable texture pattern model and the extended optical flow method Five basic spatio-temporal patterns with corresponding PDEs are responsible for a wide range of the patterns. For discontinuities and noise due to abrupt local changes in shape and intensity, a nonlinear robust function with brightness and contrast change model is also proposed. Using the heterogenous patterns, experimental results show a high prediction accuracy for the DT method over time and hence demonstrate the usefulness for disaster prevention in short-term forcasting or nowcasting.
Sponsorship	IEEE Comput. Soc
Starting Page	296
Ending Page	303
File Size	730949
Page Count	8
File Format	PDF
ISBN	0769518583
DOI	10.1109/ACV.2002.1182197
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-12-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Prediction methods Meteorological radar Laser radar Image sequences Nonlinear optics Image motion analysis Optical noise Radar imaging Difference equations Noise shaping
Content Type	Text
Resource Type	Article

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