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Proceedings Paper

Content-based retrieval for remotely sensed images
Author(s): Michele Bruzzo; Ferdinando Giordano; Laura Pagani; Silvana G. Dellepiane; Giancarlo Bo
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Paper Abstract

The work describes an innovative technique to automatically extract and manage remote sensing image-content. Simple but very flexible numeric recognition methodologies allow the content-based retrieval from huge remotely sensed image database. The most important result of this methodology is a tool for the information retrieval based on example. In order to properly characterize remotely sensed images and improve retrieval performance, many factors, such as the image resolution, the scale, the sensor features, have been taken into account. Kingfisher is the content-based database management system, developed at DIBE laboratories, that exploits these methodologies.

Paper Details

Date Published: 12 December 2001
PDF: 8 pages
Proc. SPIE 4540, Sensors, Systems, and Next-Generation Satellites V, (12 December 2001); doi: 10.1117/12.450705
Show Author Affiliations
Michele Bruzzo, Univ. degli Studi di Genova (Italy)
Ferdinando Giordano, Univ. degli Studi di Genova (Italy)
Laura Pagani, Univ. degli Studi di Genova (Italy)
Silvana G. Dellepiane, Univ. degli Studi di Genova (Italy)
Giancarlo Bo, Univ. degli Studi di Genova (Italy)

Published in SPIE Proceedings Vol. 4540:
Sensors, Systems, and Next-Generation Satellites V
Hiroyuki Fujisada; Joan B. Lurie; Konradin Weber; Joan B. Lurie; Konradin Weber, Editor(s)

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