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INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

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Paper Title
Survey of Three-Layered Graph-Based Learning Approach For Remote Sensing Image Retrieval
Authors
  Nitin Singh Thakur,  Ankita Mowar

Abstract
This paper presents a short analysis of the most techniques used for image retrieval, whereas remarking the importance of this rising technology. Owing to the alarming growth of the net and also the high volume of information, we tend to emphasize the technique of CBIR - Content-Based Image Retrieval. With the emergence of big volumes of high-resolution remote sensing pictures created by all varieties of satellites and mobile sensors, process and analysis of those pictures need effective retrieval techniques.

Keywords- Expansion query, graph-based learning, image retrieval, query fusion, reranking,
Publication Details
Unique Identification Number - IJEDR1704158
Page Number(s) - 980-983
Pubished in - Volume 5 | Issue 4 | December 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Nitin Singh Thakur,  Ankita Mowar,   "Survey of Three-Layered Graph-Based Learning Approach For Remote Sensing Image Retrieval", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 4, pp.980-983, December 2017, Available at :http://www.ijedr.org/papers/IJEDR1704158.pdf
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