期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：8
出版社：S.S. Mishra
摘要：An image mining is a technique used to mining the knowledge extracted from the image. The satellite images contain an important information for weather forecasting and early prediction of different atmospheric disturbance such as typhoon, hurricanes etc. These Features can be extracted by Content Based Image Retrieval (CBIR). There are several work has been done on image mining and inter transaction association rule which stores the images in the database and retrieves the images by a query image. They used CBIR to retrieve the images and extracts feature from the image. They extracted cloud laver, high pressure, etc. from image and then association rule is applied. Three types of Satellite Images Contain more parameter which can be extracted. Another parameter like humidity extracted from Water Vapor Image with previous parameters like cloud layer, linear cloud, typhoon can be extracted to from a satellite images to get a proper or efficient knowledge and association rule is applied to discover knowledge. New parameter is included so that association rule mining can give more accurate and efficient result. This uses lo w level feature to extraction feature from satellite image and discovering knowledge from this feature
关键词：Satellite Image; CBIR; Knowledge Discovery; Feature Extraction; Association Rule
