Paper
14 November 2007 Satellite cloud image retrieval based on deformable circle model
Yuan-Xiang Li, Yan-Bing Li, Zhong-Liang Jing
Author Affiliations +
Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 679005 (2007) https://doi.org/10.1117/12.748672
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
In order to build a content-based cloud image retrieval system, a deformable circle model is proposed to represent cloud shape. After a description of the model and shape decomposition process, a hierarchical similarity rule is presented. Then comparative experiments with some conventional contented-based image retrieval methods are carried out, which leads to a finding that the retrieval performance of our proposed method is superior to others.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuan-Xiang Li, Yan-Bing Li, and Zhong-Liang Jing "Satellite cloud image retrieval based on deformable circle model", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 679005 (14 November 2007); https://doi.org/10.1117/12.748672
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Cited by 1 scholarly publication.
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KEYWORDS
Clouds

Image retrieval

Databases

Satellites

Earth observing sensors

Satellite imaging

Atmospheric modeling

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