RETRACTED ARTICLE: Content based satellite image retrieval system using fuzzy clustering

Abstract

Nowadays, Satellite image retrieval could be a huge issue to induce information for natural disaster management, military target detection, meteorology, urban designing, harm assessment and change detection, etc. Basis on the image substance, content based image retrieval extracts the images that are relevant to the user given query image from massive image databases. Most of the existing image retrieval methods are still incompetent of providing retrieval outcome with elevated retrieval accuracy and not as much of computational intricacy. This paper proposed Fuzzy multi-characteristic clustering technique to realize this goal that is based on Fuzzy logic and clustering. Fuzzy sets used to represent the vagueness occur in user query, similarity measure and image substance. Clustering is an unsupervised method of classification that provides a small amount of control to clustering and improves the clustering performance drastically. The tentative results reveal that our proposed method can achieve significant precision and recall rates with better computational efficiency.