Spatial Data Infrastructures: Extending Digital Image Processing Techniques and Management Models for Spatial Data Infrastructure Improvement

Brian Anthony Hope

Spatial Data Infrastructures: Extending Digital Image Processing Techniques and Management Models for Spatial Data Infrastructure Improvement

Brian Anthony Hope

Research output: Thesis › Doctoral Thesis

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Abstract

combinatorial approach with existing image processing techniques and the application of Statistical Learning Machines (SLM) used successfully for object detection and classification. SDI metadata models have been extended to classify an organisational hierarchy of metadata standards with SDI metadata extensions to include temporal management applicable to imagery procurement discussed as well as planned and retired SDI raster management. SDI generations are discussed and client rendering models are introduced as a means of integrations vast amounts of imagery and raster data on the client side deployed from SDI services to improve Location Intelligence (LI) application for business users of spatial information and promote spatial information as Spatial Infrastructure.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Charles Sturt University
Place of Publication	Australia
Publisher	Charles Sturt University
Publication status	Published - 2013
Externally published	Yes

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title = "Spatial Data Infrastructures: Extending Digital Image Processing Techniques and Management Models for Spatial Data Infrastructure Improvement",

abstract = "combinatorial approach with existing image processing techniques and the application of Statistical Learning Machines (SLM) used successfully for object detection and classification. SDI metadata models have been extended to classify an organisational hierarchy of metadata standards with SDI metadata extensions to include temporal management applicable to imagery procurement discussed as well as planned and retired SDI raster management. SDI generations are discussed and client rendering models are introduced as a means of integrations vast amounts of imagery and raster data on the client side deployed from SDI services to improve Location Intelligence (LI) application for business users of spatial information and promote spatial information as Spatial Infrastructure.",

author = "{Anthony Hope}, Brian",

note = "Hardcopy located at VC's Office-Bathurst. Not for Loan.",

year = "2013",

language = "English",

publisher = "Charles Sturt University",

address = "Australia",

school = "Charles Sturt University",

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Y1 - 2013

N2 - combinatorial approach with existing image processing techniques and the application of Statistical Learning Machines (SLM) used successfully for object detection and classification. SDI metadata models have been extended to classify an organisational hierarchy of metadata standards with SDI metadata extensions to include temporal management applicable to imagery procurement discussed as well as planned and retired SDI raster management. SDI generations are discussed and client rendering models are introduced as a means of integrations vast amounts of imagery and raster data on the client side deployed from SDI services to improve Location Intelligence (LI) application for business users of spatial information and promote spatial information as Spatial Infrastructure.

AB - combinatorial approach with existing image processing techniques and the application of Statistical Learning Machines (SLM) used successfully for object detection and classification. SDI metadata models have been extended to classify an organisational hierarchy of metadata standards with SDI metadata extensions to include temporal management applicable to imagery procurement discussed as well as planned and retired SDI raster management. SDI generations are discussed and client rendering models are introduced as a means of integrations vast amounts of imagery and raster data on the client side deployed from SDI services to improve Location Intelligence (LI) application for business users of spatial information and promote spatial information as Spatial Infrastructure.

M3 - Doctoral Thesis

PB - Charles Sturt University

CY - Australia

ER -