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Adaptive Pattern-driven Compression of Large-Area High-Resolution Terrain Data

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7 Author(s)
Hai Wei ; UtopiaCompression Corp., Los Angeles, CA, USA ; Zabuawala, S. ; Lei Zhang ; Jiejie Zhu
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This paper presents a novel adaptive pattern-driven approach for compressing large-area high-resolution terrain data. Utilizing a pattern-driven model, the proposed approach achieves efficient terrain data reduction by modeling and encoding disparate visual patterns using a compact set of extracted features. The feasibility and efficiency of the proposed technique were corroborated by experiments using various terrain datasets and comparisons with the state-of-the-art compression techniques. Since different visual patterns are separated and modeled explicitly during the compression process, the proposed technique also holds a great potential for providing a good synergy between compression and compressed-domain analysis.

Published in:

Multimedia (ISM), 2011 IEEE International Symposium on

Date of Conference:

5-7 Dec. 2011

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