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

Brian Anthony Hope

Research output: ThesisDoctoral Thesis

4 Downloads (Pure)

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 languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Charles Sturt University
Place of PublicationAustralia
Publisher
Publication statusPublished - 2013
Externally publishedYes

Fingerprint Dive into the research topics of 'Spatial Data Infrastructures: Extending Digital Image Processing Techniques and Management Models for Spatial Data Infrastructure Improvement'. Together they form a unique fingerprint.

Cite this