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A Fast Adaptive Content-based Retrieval System of Satellite Images Database using Relevance Feedback

By Hanan Mahmoud, Ezzat Mahmoud, Alaa Abd and El Fatah Hefnawy

Abstract

Abstract—In this paper, we present a system for content-based retrieval of large database of classified satellite images, based on user's relevance feedback (RF).Through our proposed system, we divide each satellite image scene into small subimages, which stored in the database. The modified radial basis functions neural network has important role in clustering the subimages of database according to the Euclidean distance between the query feature vector and the other subimages feature vectors. The advantage of using RF technique in such queries is demonstrated by analyzing the database retrieval results. Keywords—content-based image retrieval, large database of image, RBF neural net, relevance feedback I

Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.193.2973
Provided by: CiteSeerX
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