CFP last date
20 May 2024
Reseach Article

A Novel Method for Satellite Image Retrieval using Semantic Mining and Hashing

by Linda Mary John, Kiran Ashok Bhandari
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 147 - Number 8
Year of Publication: 2016
Authors: Linda Mary John, Kiran Ashok Bhandari
10.5120/ijca2016911140

Linda Mary John, Kiran Ashok Bhandari . A Novel Method for Satellite Image Retrieval using Semantic Mining and Hashing. International Journal of Computer Applications. 147, 8 ( Aug 2016), 33-36. DOI=10.5120/ijca2016911140

@article{ 10.5120/ijca2016911140,
author = { Linda Mary John, Kiran Ashok Bhandari },
title = { A Novel Method for Satellite Image Retrieval using Semantic Mining and Hashing },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2016 },
volume = { 147 },
number = { 8 },
month = { Aug },
year = { 2016 },
issn = { 0975-8887 },
pages = { 33-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume147/number8/25676-2016911140/ },
doi = { 10.5120/ijca2016911140 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:51:23.213637+05:30
%A Linda Mary John
%A Kiran Ashok Bhandari
%T A Novel Method for Satellite Image Retrieval using Semantic Mining and Hashing
%J International Journal of Computer Applications
%@ 0975-8887
%V 147
%N 8
%P 33-36
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Satellite images play an important role for collection of geographical information. However, the use of such images is limited to a greater extent due to its retrieval complexities. Traditional methods using text have also failed to yield desired and time-saving results. Therefore, Content based image retrieval using high semantic features has been developed to overcome problems related to text retrieval and challenges associated with semantic gap. Keeping in consideration the importance of semantic features for CBIR, the proposed method introduces a novel method using Semantic mining and Hashing for fast retrieval and attainment of accurate results.

References
  1. Harpreet Kaur, Kiran Jyoti,2013:“ Survey of Techniques of High Level Semantic Based Image Retrieval ”, International Journal of Research in Computer and Communication technology, Volume 2, Issue 1, January 2013 .
  2. Reshma Chaudhari and A. M. Patil ,2012:“ Content Based Image Retrieval Using Color and Shape Features”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering , Vol. 1, Issue 5, November 2012
  3. Zobeir Raisi, Farahnaz Mohanna and Mehdi Rezaei ,2014:“Applying Content-Based Image Retrieval Techniques to Provide New Services for Tourism Industry”, Int. J. Advanced Networking and Applications Volume: 6 Issue: 2 , ISSN : 0975-029, 2014
  4. Vishal S. Kore, B. A. Tidke and Pankaj Chandre,2015:“ Survey of Image Retrieval Techniques and Algorithms for Image-Rich Information Networks”, International Journal of Computer Applications (0975 – 8887) Volume 112 – No. 6, February 2015
  5. Hui Hui Wang, Dzulkifli Mohamad,and N.A Ismail ,2009: “ Image Retrieval: Techniques, Challenge, and Trend”, Technology International Journal of Computer, Electrical, Automation, Control and Information Engineering Vol:3, No:12, 2009
  6. Begüm Demir,and Lorenzo Bruzzone:“ Hashing-Based Scalable Remote Sensing Image Search and Retrieval in Large Archives”, IEEE Transactions On Geoscience And Remote sensing, 2014.
  7. Begüm Demir,and Lorenzo Bruzzone :“ Kernel-Based Hashing For Content-Based Image Retrieval In Large Remote Sensing Data Archives ”, IEEE Transactions On Geoscience And Remote sensing,2015.
  8. Min Wang and Tengyi Song:“ Remote Sensing Image Retrieval by Scene Semantic”, IEEE Transactions On Geoscience And Remote sensing,Vol. 51, No. 5, May 2013.
  9. Sapana Prakash Mali, Nitin N. Patil :“ Image Retrieval using Hash Code and Relevance Feedback Technique”,International Journal of Computer Applications (0975 – 8887).
  10. Erchan Aptoula :“Remote Sensing Image Retrieval With Global Morphological Texture Descriptors”, IEEE Transactions On Geoscience And Remote sensing, Vol. 52, No. 5, May 2014
  11. Houria Sebai ,Assia Kourgli :“ An adaptive CBIR system for remote sensed data” 978-1-4799-3990- 2014 IEEE
  12. T. Liu, L. Zhang, P. Li, and Hui Lin “Remotely sensed image retrieval based on region-level semantic mining,” EURASIP Journal on Image and Video Processing, pp. 1687–5281, April 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Semantic Mining Hashing Hash codes Semantic gap precision recall feature extraction and similarity measures