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An Efficient Approach towards Satellite Image Retrieval using Semantic Mining with Hashing

Linda Mary John, Kiran A. Bhandari. Published in Image Processing

An Efficient Approach towards Satellite Image Retrieval using Semantic Mining with Hashing
International Journal of Applied Information Systems
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Series: Volume 11 Number 3
Authors: Linda Mary John, Kiran A. Bhandari
10.5120/ijais2016451592
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  1. Linda Mary John and Kiran A Bhandari. An Efficient Approach towards Satellite Image Retrieval using Semantic Mining with Hashing. International Journal of Applied Information Systems 11(3):50-54, August 2016. URL, DOI BibTeX

    @article{10.5120/ijais2016451592,
	author = "Linda Mary John and Kiran A. Bhandari",
	title = "An Efficient Approach towards Satellite Image Retrieval using Semantic Mining with Hashing",
	journal = "International Journal of Applied Information Systems",
	issue_date = "August 2016",
	volume = 11,
	number = 3,
	month = "Aug",
	year = 2016,
	issn = "2249-0868",
	pages = "50-54",
	numpages = 5,
	url = "http://www.ijais.org/archives/volume11/number3/931-2016451592",
	doi = "10.5120/ijais2016451592",
	publisher = "Foundation of Computer Science (FCS), NY, USA",
	address = "New York, USA"
}

Abstract

Satellite images have gained a wide popularity in the field of content-based image retrieval. A massive amount of these images are collected every year due to the high availability of satellites and computer technologies. However, extracting user-specific content from these images still remains a primary concern due to the presence of semantic gap. This limits the capabilities of CBIR. Therefore, an effective and efficient method is required for image retrieval. This paper puts forward a semantic-based image retrieval approach along with the advantages of hashing for better feature extraction and precise retrieval. Hashing accelerates the quality of similarity search among images by generating unique image-hash codes .This approach also aims to scale down the problems related to semantic gap for better retrieval results.

Reference

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Keywords

Semantic mining, Hashing, Hash codes, Semantic gap, Feature extraction, Semantic-based image retrieval, Precision, Recall.