@inproceedings{b51fd3499cb24fbeb2ba02824edf723c,
title = "Using fuzzy SOM strategy for satellite image retrieval and information mining",
abstract = "This paper proposes an efficient satellite image retrieval and knowledge discovery model. The strategy comprises two major parts. First, a computational algorithm is used for off-line satellite image feature extraction, image data representation and image retrieval. Low level features are automatically extracted from the segmented regions of satellite images. A self-organization feature map is used to construct a two-layer satellite image concept hierarchy. The events are stored in one layer and the corresponding feature vectors are categorized in the other layer. Second, a user friendly interface is provided that retrieves images of interest and mines useful information based on the events in the concept hierarchy. The proposed system is evaluated with prominent features such as typhoons or high-pressure masses.",
keywords = "Early-warning system, Genetic algorithm, Image retrieval, Relevance feedback, Satellite image",
author = "Huang, \{Yo Ping\} and Chang, \{Tsun Wei\} and Kao, \{Li Jen\} and Sandnes, \{Frode Eika\}",
year = "2007",
language = "???core.languages.en\_GB???",
isbn = "1934272078",
series = "CITSA 2007 - Int. Conference on Cybernetics and Information Technologies, Systems and Applications and CCCT 2007 - Int. Conference on Computing, Communications and Control Technologies, Proceedings",
pages = "13--18",
booktitle = "CITSA 2007 - Int. Conference on Cybernetics and Information Technologies, Systems and Applications and CCCT 2007 - Int. Conference on Computing, Communications and Control Technologies, Proceedings",
note = "4th International Conference on Cybernetics and Information Technologies, Systems and Applications, CITSA 2007, Jointly with the 5th International Conference on Computing, Communications and Control Technologies, CCCT 2007 ; Conference date: 12-07-2007 Through 15-07-2007",
}