A Multi-resolution Content-Based Retrieval Approach for Geographic Images (1999)
| Venue: | GoeInformatica, An International Journal on Advances of Computer Science for Geographic Information Systems |
| Citations: | 9 - 1 self |
BibTeX
@ARTICLE{Sheikholeslami99amulti-resolution,
author = {Gholamhosein Sheikholeslami and Aidong Zhang and Ling Bian},
title = {A Multi-resolution Content-Based Retrieval Approach for Geographic Images},
journal = {GoeInformatica, An International Journal on Advances of Computer Science for Geographic Information Systems},
year = {1999},
volume = {3}
}
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Abstract
Current retrieval methods in geographic image databases use only pixel-by-pixel spectral information. Texture is an important property of geographical images that can improve retrieval effectiveness and efficiency. In this paper, we present a content-based retrieval approach that utilizes the texture features of geographical images. Various texture features are extracted using wavelet transforms. Based on the texture features, we design a hierarchical approach to cluster geographical images for effective and efficient retrieval, measuring distances between feature vectors in the feature space. Using wavelet-based multi-resolution decomposition, two different sets of texture features are formulated for clustering. For each feature set, different distance measurement techniques are designed and experimented for clustering images in a database. The experimental results demonstrate that the retrieval efficiency and effectiveness improve when our clustering approach is used. Keywords: geogr...
