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Digital Object Identifier (DOI) : 10.14569/SpecialIssue.2013.030103
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Selected Papers from International Conference & Workshop On Advance Computing 2013, 2013.
Abstract: Satellite images and Content Based Image Retrieval are interesting topics of research since years. Specifically, CBIR is on developing technologies for bridging the semantic gap that currently prevents wide-deployment of image content-based search engines. Image search engines currently in use are mostly rely on human generated data, such as text. Annotation of an image is totally depend on the person’s perception who is going to store it into database. It is time-consuming as well as error prone. Therefore search engine using text input results in various non-relevant images. To overcome drawbacks of text based image retrieval, Content based image retrieval is introduced where retrieval of images is totally depend on the features of images. Mostly, content-based methods are based on low-level descriptions, while high-level or semantic descriptions are beyond current capabilities. In this paper, we will try to implement the technique to fill this gap. This technique can eventually be extended to allow for content-based similarity type of search, to find out different query blocks from satellite image. We will fire an object as a query and most similar blocks will get retrieved. This will help out to trace particular object from large satellite image.
A R Sawant, Dr. Vinayak A Bharadi and Dr. H B Kekre, “Satellite Image Retrieval using Modified Block Truncation Coding and Kekre Transform Patterns” International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Selected Papers from International Conference & Workshop On Advance Computing 2013, 2013. http://dx.doi.org/10.14569/SpecialIssue.2013.030103