International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
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Volume 11 - Issue 3 |
Published: Aug 2016 |
Authors: Linda Mary John, Kiran A. Bhandari |
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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 }, year = { 2016 }, volume = { 11 }, number = { 3 }, pages = { 50-54 }, doi = { 10.5120/ijais2016451592 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2016 %A Linda Mary John %A Kiran A. Bhandari %T An Efficient Approach towards Satellite Image Retrieval using Semantic Mining with Hashing%T %J International Journal of Applied Information Systems %V 11 %N 3 %P 50-54 %R 10.5120/ijais2016451592 %I Foundation of Computer Science (FCS), NY, USA
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.