Open AccessAutomated extraction of cloud motion vectors from INSAT-1B imagery
Author(s) -
R. R. Kelkar,
Pankaj Khanna
Publication year - 1986
Publication title -
mausam
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.243
H-Index - 12
ISSN - 0252-9416
DOI - 10.54302/mausam.v37i4.2575
Subject(s) - radiosonde , pixel , remote sensing , cloud computing , meteorology , computer science , motion vector , geology , cloud cover , extraction (chemistry) , geodesy , matching (statistics) , geography , artificial intelligence , computer vision , cartography , image (mathematics) , mathematics , statistics , chemistry , chromatography , operating system
The paper describes an automated technique for cloud motion vector extraction from INSAT -ID on visible and infra-red imagery over the oceanic areas around the Indian Peninsula. The technique is based on a pattern matching procedure which attempts to search for a pixel-to-pixel eqality between two grey shade distributions instead of cross-correlation. The CMVs are found to be very useful m augmenting the wind data over the oceanic areas and are consistent with each other and neighbouring radiosonde winds. The paper also discusses the sources of errors and uncertainties caused by the VHRR resolution and the wind derivation procedure.