
Satellite Image Retrieval using MBTC and Kekre Patterns
CBIR on Satellite Image Data
LAP Lambert Academic Publishing
Published on 14. September 2013
Book
Paperback/Softback
112 pages
978-3-659-45515-5 (ISBN)
Description
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 annotations. It is time-consuming as well as error prone. To overcome drawbacks of text based image retrieval, Content based image retrieval is introduced where retrieval of images is totally dependent on the features of images. In this Book an Image retrieval technique based on Modified Block Truncation Coding Combined with Kekre Transform Patterns is proposed. The technique is implemented of on database of satellite images. To test the performance of the technique, the objects are segregated from the same satellite images and fired as a query object. According to the proposed technique the most similar object blocks will be retrieved from the satellite images. From the results of CBIR on normal images and satellite images, performance of the technique can be compared and concluded.
More details
Language
English
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 7 mm
Weight
185 gr
ISBN-13
978-3-659-45515-5 (9783659455155)
Schweitzer Classification
Persons
Arti Sawant has completed her Masters in EXTC from Mumbai University in May 2013. She is working as faculty in EXTC Department of Thakur College of Engineering & Technology, Mumbai, India. Her research domain is Digital Signal & Image Processing. She has published 5 international papers based on her research in Satellite Image Retrieval.