CONTENT BASED MULTISPECTRAL SATELLITE IMAGE RETRIEVAL SYSTEM USING HYBRID MODEL

Abstract

The Earth Observatory data volume is increasing day by day. To store the satellite data and retrieved the relevant results is becoming a big task. Content Based image Retrieval (CBIR) is a technique to retrieve the relevant image from the database. The traditional method used for the image retrieval was TBIR; the images were annotated based on the text. The results obtained using the TBIR was not so accurate, so it raised the need of the CBIR. The images are retrieved based on the color, shape and texture feature of the images. These features are compared with the query image features and the results are obtained by the similarity measure technique. In this paper, for similarity measure Euclidean distance measure is used. Using the precision and recall the relevance of the results are computed.