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

fYear

2008

fDate

26-28 Aug. 2008

Firstpage

193

Lastpage

196

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Graphics, Imaging and Visualisation, 2008. CGIV '08. Fifth International Conference on

Conference_Location

Penang

Print_ISBN

978-0-7695-3359-9

Type

conf

DOI

10.1109/CGIV.2008.20

Filename

4627006