Abstract
| Original language | English |
|---|---|
| Qualification | Doctor of Philosophy |
| Awarding Institution |
|
| Place of Publication | Australia |
| Publisher | |
| Publication status | Published - 2013 |
| Externally published | Yes |
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Spatial Data Infrastructures: Extending Digital Image Processing Techniques and Management Models for Spatial Data Infrastructure Improvement. / Anthony Hope, Brian.
Australia : Charles Sturt University, 2013.Research output: Thesis › Doctoral Thesis
TY - THES
T1 - Spatial Data Infrastructures: Extending Digital Image Processing Techniques and Management Models for Spatial Data Infrastructure Improvement
AU - Anthony Hope, Brian
N1 - Hardcopy located at VC's Office-Bathurst. Not for Loan.
PY - 2013
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 -