DocumentCode
495287
Title
Research on Factors of the Availability of Remote Sensing Images and the Assessment Model Based on the Structure of Clouds
Author
Zheng, Hong ; Li, Wenging ; Cao, Qiong
Author_Institution
Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
Volume
6
fYear
2009
fDate
March 31 2009-April 2 2009
Firstpage
24
Lastpage
28
Abstract
This paper studies influencing factors on the structure of clouds and the availability of satellite remote sensing images on base of that, and puts forward that the cloud area, cloud thickness and cloud fragment are the main factors. Combined with immune coding algorithm, the cloud area can be calculated; with the impact patterns on images by atmospheric scattering, refraction, and so on, a method of calculating the thickness of clouds is proposed; by analyzing the effects of the shape and distribution of clouds on the amount of information available for satellite images, the computing formula of cloud fragment is proposed; and using a large number of test data, we studied their interrelation, as well as their influences on the availability of satellite images, finally we established availability assessment model of satellite remote sensing images. With the comparison of the artificial classification, the validity of the model has been proved.
Keywords
clouds; geophysical signal processing; image coding; remote sensing; shape recognition; assessment model; atmospheric scattering; cloud shape; cloud structure; cloud thickness calculation; image pattern; immune coding algorithm; satellite remote sensing image; Algorithm design and analysis; Availability; Clouds; Image analysis; Image coding; Information analysis; Pattern analysis; Remote sensing; Satellites; Scattering; assessment model; availability of remote sensing images; cloud structure; satellite remote sensing images;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location
Los Angeles, CA
Print_ISBN
978-0-7695-3507-4
Type
conf
DOI
10.1109/CSIE.2009.759
Filename
5170654
Link To Document