Title :
Advancement of cloud detection algorithm in satellite images with application to color models
Author :
Gupta, Rachana ; Panchal, Pradip
Author_Institution :
C.S. Patel Inst. of Technol., Changa, India
Abstract :
Cloud detection algorithm is paramount to expand the energy budget of earth and water cycle which is utilized for research analysis. So the cloud detection algorithm ought to be solidified enough. This paper embodies different color models and their corresponding results which are utilized to segregate cloud tainted pixel from clear pixel, in view of threshold values. For the legitimacy of the algorithms, approach algorithms focused around HSV and RGB color model are applied for different underlying surfaces and examined on VIRR, NOAA and MODIS data sets consist of 800 images.
Keywords :
clouds; geophysical image processing; image colour analysis; image resolution; object detection; Earth energy budget; HSV color model; MODIS data set; NOAA data set; RGB color model; VIRR data set; cloud detection algorithm; cloud tainted pixel segregation; research analysis; satellite images; threshold values; water cycle; Biological system modeling; Brightness temperature; Clouds; Image color analysis; Satellites; Sea surface; US Government agencies; Cloud; MODIS; NOAA; RGB and HSV Color Model; VIRR;
Conference_Titel :
Computer Communication and Informatics (ICCCI), 2015 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6804-6
DOI :
10.1109/ICCCI.2015.7218124
