Removal of noise from sodar data using ABL characteristics guided morphological filter

• Autorzy: Pal P. , Mukherjee A. , Chanda B.
• Języki publikacji: EN

Abstrakty

EN

There is potential of using acoustic sounder system to study boundary layer meteorology. The repeatable patterns on sodar-images become necessary and useful to find suitable techniques for computer analysis and interpretation. Image processing and pattern recognition approaches have been explored for SODAR signal processing. Like all real digital images, sodar-images are also degraded with noise, thereby complicating the sodar-patterns. Since the exact mathematical model of the system is not available, challenges exist to minimise the effect of noise present in the sodar-images. This will lead to better extraction of the sodar-patterns from the sodar-images. Noise cleaning algorithm for sodar-images have been considered here based on the morphology of ABL pattern characteristics. The results of this algorithm compare favourably with the existing methods.

Słowa kluczowe

EN

sodar-images; preprocessing; niters; morphology

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2007
• Tom: Vol. 12, no 1
• Strony: 5--15
• Opis fizyczny: Bibliogr. 28 poz., rys., wykr.

Twórcy

autor

Pal P.

autor

Mukherjee A.

autor

Chanda B.

• Electronics and Communication Sciences Unit, Indian Statistical Institute, 203 Barackpore Trunk Road, Kolkata 700108,

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