Query by example in Earth-Observation image archive using data compression-based approach
Abstract
This paper presents an implementation of query by example in Earth Observation image archive using data compressionbased approach. Data compression approach allows to exploit the compression properties of the objects and to estimate the shared information between them, this concept is extended to image retrieval for finding similar objects in the image archive. Our implementation is based on LZW algorithm for compressing the image content and extracting features of the images. The fast compression distance (FCD) is defined as a similarity metric in order to retrieve the most similar images. This tool is satisfactory implemented and tested using optical and SAR images.
BIB_text
author = {Daniela Espinoza-Molina and Marco Quartulli and Mihai Datcu},
title = {Query by example in Earth-Observation image archive using data compression-based approach},
pages = {6035-6038},
keywds = {
Content based image retrieval, High resolution optical and SAR, similarity metrics, fast compression distance, image retrieval, query by exam
}
abstract = {
This paper presents an implementation of query by example in Earth Observation image archive using data compressionbased approach. Data compression approach allows to exploit the compression properties of the objects and to estimate the shared information between them, this concept is extended to image retrieval for finding similar objects in the image archive. Our implementation is based on LZW algorithm for compressing the image content and extracting features of the images. The fast compression distance (FCD) is defined as a similarity metric in order to retrieve the most similar images. This tool is satisfactory implemented and tested using optical and SAR images.
}
isbn = {978-1-4673-1160-1},
date = {2012-07-22},
year = {2012},
}
