Paper
21 November 1995 Progressive template matching for content-based retrieval in earth-observing satellite image database
Chung-Sheng Li, John Turek, Ephraim Feig
Author Affiliations +
Proceedings Volume 2606, Digital Image Storage and Archiving Systems; (1995) https://doi.org/10.1117/12.227238
Event: Photonics East '95, 1995, Philadelphia, PA, United States
Abstract
In this paper we present a progressive template matching algorithm that can be used when performing content-based retrieval on images or videos that are stored using DCT based block transforms such as those used in the JPEG compression standard. In the proposed method, the template matching is initially performed on a low-resolution version of the image consisting of the low frequency coefficients from the DCT-transformed image. The template is then matched against the neighborhood of the resulting hit(s) by incorporating additional DCT coefficients into the analysis. We have conducted preliminary experiments on a database consisting of large satellite images; our results show that the progressive template matching methodology yields significant computational speedup over the conventional approach.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chung-Sheng Li, John Turek, and Ephraim Feig "Progressive template matching for content-based retrieval in earth-observing satellite image database", Proc. SPIE 2606, Digital Image Storage and Archiving Systems, (21 November 1995); https://doi.org/10.1117/12.227238
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Databases

Correlation function

Earth observing sensors

Image retrieval

Satellite imaging

Satellites

Image compression

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