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