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Applied Optics

Applied Optics


  • Vol. 43, Iss. 2 — Jan. 10, 2004
  • pp: 210–217

Using texture to analyze and manage large collections of remote sensed image and video data

Shawn Newsam, Lei Wang, Sitaram Bhagavathy, and Bangalore S. Manjunath  »View Author Affiliations

Applied Optics, Vol. 43, Issue 2, pp. 210-217 (2004)

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We describe recent research into using the visual primitive of texture to analyze and manage large collections of remote sensed image and video data. Texture is regarded as the spatial dependence of pixel intensity. It is characterized by the amount of dependence at different scales and orientations, as measured with frequency-selective filters. A homogeneous texture descriptor based on the filter outputs is shown to enable (1) content-based image retrieval in large collections of satellite imagery, (2) semantic labeling and layout retrieval in an aerial video management system, and (3) statistical object modeling in geographic digital libraries.

© 2004 Optical Society of America

OCIS Codes
(100.2960) Image processing : Image analysis
(100.5010) Image processing : Pattern recognition
(110.2960) Imaging systems : Image analysis

Original Manuscript: May 20, 2003
Revised Manuscript: July 7, 2003
Published: January 10, 2004

Shawn Newsam, Lei Wang, Sitaram Bhagavathy, and Bangalore S. Manjunath, "Using texture to analyze and manage large collections of remote sensed image and video data," Appl. Opt. 43, 210-217 (2004)

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