Indexing and storage techniques for satellite images in a parallel architecture

This thesis investigates multi-dimensional indexing techniques for content-based image retrieval, proposes a new indexing structure for an extended framework of features with varying dimensions/lengths, develops an effective approximative indexing strategy, and brings forward an effective de-cluster...

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Main Author: Wu, Li
Other Authors: Timo Rolf Bretschneider
Format: Theses and Dissertations
Published: 2008
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Online Access:https://hdl.handle.net/10356/2536
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-25362023-03-04T00:39:34Z Indexing and storage techniques for satellite images in a parallel architecture Wu, Li Timo Rolf Bretschneider School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computer systems organization::Special-purpose and application-based systems This thesis investigates multi-dimensional indexing techniques for content-based image retrieval, proposes a new indexing structure for an extended framework of features with varying dimensions/lengths, develops an effective approximative indexing strategy, and brings forward an effective de-clustering approach for a cluster architecture. MASTER OF ENGINEERING (SCE) 2008-09-17T09:04:56Z 2008-09-17T09:04:56Z 2006 2006 Thesis Wu, L. (2006). Indexing and storage techniques for satellite images in a parallel architecture.Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/2536 10.32657/10356/2536 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Computer science and engineering::Computer systems organization::Special-purpose and application-based systems
spellingShingle DRNTU::Engineering::Computer science and engineering::Computer systems organization::Special-purpose and application-based systems
Wu, Li
Indexing and storage techniques for satellite images in a parallel architecture
description This thesis investigates multi-dimensional indexing techniques for content-based image retrieval, proposes a new indexing structure for an extended framework of features with varying dimensions/lengths, develops an effective approximative indexing strategy, and brings forward an effective de-clustering approach for a cluster architecture.
author2 Timo Rolf Bretschneider
author_facet Timo Rolf Bretschneider
Wu, Li
format Theses and Dissertations
author Wu, Li
author_sort Wu, Li
title Indexing and storage techniques for satellite images in a parallel architecture
title_short Indexing and storage techniques for satellite images in a parallel architecture
title_full Indexing and storage techniques for satellite images in a parallel architecture
title_fullStr Indexing and storage techniques for satellite images in a parallel architecture
title_full_unstemmed Indexing and storage techniques for satellite images in a parallel architecture
title_sort indexing and storage techniques for satellite images in a parallel architecture
publishDate 2008
url https://hdl.handle.net/10356/2536
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