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Proceedings Paper

The remote sensing image retrieval based on multi-feature
Author(s): Jian-bo Duan; Cai-hong Ma; Shi-bin Liu; Jing Zhang
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Paper Abstract

With the rapid development of remote sensing technology and variety of earth observation satellites have been successfully launched, the volume of image datasets is growing exponentially in many application areas. The Contentbased image retrieval (CBRSIR), as an efficient means for management and utilization of the information in image database from the viewpoint of comprehension of image content, is applied on the remote sensing images retrieval. However, one kind of features always can’t express the image content exactly. So, a multi-feature retrieval model based on three color features and four texture features is proposed in this paper. The experiment results show that the multifeatures model can improve the retrieval results than other model just by each singular feature.

Paper Details

Date Published: 17 October 2013
PDF: 6 pages
Proc. SPIE 8892, Image and Signal Processing for Remote Sensing XIX, 88921X (17 October 2013); doi: 10.1117/12.2021471
Show Author Affiliations
Jian-bo Duan, Institute of Remote Sensing and Digital Earth (China)
Cai-hong Ma, Institute of Remote Sensing and Digital Earth (China)
Shi-bin Liu, Institute of Remote Sensing and Digital Earth (China)
Jing Zhang, Institute of Remote Sensing and Digital Earth (China)


Published in SPIE Proceedings Vol. 8892:
Image and Signal Processing for Remote Sensing XIX
Lorenzo Bruzzone, Editor(s)

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