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RETRACTED ARTICLE: Content based satellite image retrieval system using fuzzy clustering

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This article was retracted on 14 June 2022

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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.

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Authors and Affiliations

  1. Department of Computer Applications, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, India

    P. K. Kavitha & P. Vidhya Saraswathi

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  1. P. K. Kavitha
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  2. P. Vidhya Saraswathi
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Correspondence to P. K. Kavitha.

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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s12652-022-04122-2"

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Kavitha, P.K., Vidhya Saraswathi, P. RETRACTED ARTICLE: Content based satellite image retrieval system using fuzzy clustering. J Ambient Intell Human Comput 12, 5541–5552 (2021). https://doi.org/10.1007/s12652-020-02064-1

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  • DOI: https://doi.org/10.1007/s12652-020-02064-1

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