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Reseach Article

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

by Linda Mary John, Kiran A. Bhandari
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 11 - Number 3
Year of Publication: 2016
Authors: Linda Mary John, Kiran A. Bhandari
10.5120/ijais2016451592

Linda Mary John, Kiran A. Bhandari . An Efficient Approach towards Satellite Image Retrieval using Semantic Mining with Hashing. International Journal of Applied Information Systems. 11, 3 ( Aug 2016), 50-54. DOI=10.5120/ijais2016451592

@article{ 10.5120/ijais2016451592,
author = { Linda Mary John, 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 = { Aug 2016 },
volume = { 11 },
number = { 3 },
month = { Aug },
year = { 2016 },
issn = { 2249-0868 },
pages = { 50-54 },
numpages = {9},
url = { https://www.ijais.org/archives/volume11/number3/931-2016451592/ },
doi = { 10.5120/ijais2016451592 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:04:01.032574+05:30
%A Linda Mary John
%A Kiran A. Bhandari
%T An Efficient Approach towards Satellite Image Retrieval using Semantic Mining with Hashing
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 11
%N 3
%P 50-54
%D 2016
%I Foundation of Computer Science (FCS), NY, 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.

References
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Index Terms

Computer Science
Information Sciences

Keywords

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