Title :
EASI Modelling Algorithms for Aerosol-Cloud Distribution Analysis
Author :
Alias, A.N. ; MatJafri, M.Z. ; Lim, H.S. ; Abdullah, K. ; Saleh, N. Mohd
Author_Institution :
Sch. of Phys., Univ. Sains Malaysia, Minden
Abstract :
Algorithms to distinguish between clouds and aerosols are important in the environmental and remote sensing study. The colour-modulated image from cloud aerosol lidar and infrared pathfinder satellite observation (CALIPSO) has been analysed in this study. CALIPSO is currently obtaining global aerosol and cloud measurements from space. We study the possibility to apply EASI modelling algorithms to differentiate aerosols and clouds in the CALIPSO image. This image processing method has shown good outcome for visualization analysis.
Keywords :
aerosols; artificial satellites; clouds; image colour analysis; optical radar; remote sensing by radar; CALIPSO; EASI modelling algorithms; aerosol-cloud distribution analysis; cloud aerosol lidar; colour-modulated image; infrared pathfinder satellite observation; Aerosols; Algorithm design and analysis; Clouds; Current measurement; Extraterrestrial measurements; Image analysis; Infrared imaging; Laser radar; Remote sensing; Satellites; CALIPSO; EASI; aerosol; cloud;
Conference_Titel :
Computer Graphics, Imaging and Visualisation, 2008. CGIV '08. Fifth International Conference on
Conference_Location :
Penang
Print_ISBN :
978-0-7695-3359-9
DOI :
10.1109/CGIV.2008.20
