Please use this identifier to cite or link to this item:
Title: Indexing and storage techniques for satellite images in a parallel architecture
Authors: Wu, Li
Keywords: DRNTU::Engineering::Computer science and engineering::Computer systems organization::Special-purpose and application-based systems
Issue Date: 2006
Source: Wu, L. (2006). Indexing and storage techniques for satellite images in a parallel architecture.Master’s thesis, Nanyang Technological University, Singapore.
Abstract: 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.
DOI: 10.32657/10356/2536
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

Files in This Item:
File Description SizeFormat 
WuLi06.pdfMain report11.37 MBAdobe PDFThumbnail

Page view(s) 50

Updated on Oct 15, 2021

Download(s) 20

Updated on Oct 15, 2021

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.