Feature Extraction from the Satellite Image Gray Color and Knowledge Discovery Using Association Rule Mining
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2014, Vol 4, Issue 4
Abstract
Satellite take images of the Earth in selected spectral bands that are in both the visible and the infrared portions of the electromagnetic spectrum. Many Satellites provide three types of Satellite Images. These Images are Visible Satellite Image, Infrared Satellite Image, and Water Vapor Satellite Image. These images are important for different reasons, and, in some cases, all three are needed to accurately interpret atmospheric conditions. These Satellite images contain different types of cloud. This paper shows cloud feature extraction using Histogram. A table that shows cloud existence in different image is created, called Association table in which Y represents cloud is exist and N represent not exist. Association rule mining is applied to this table to make relations between different clouds and discover the knowledge about cloud existence.
Authors and Affiliations
Yusuf Khan1 , Ravindra Gupta
Keywords
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