A Framework and Workflow for Hyper Resolution Image Visualization in Mineshaft Inspection

Michael Brandner

Research output: ThesisMaster's Thesis

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This thesis presents a framework and workflow for the automatic preparation of data and images to enable the use of hyper resolution images for mineshaft inspections. The focus of the thesis is on the process from image registration to visualization of image data in the dimensions of 10^6 x 10^5 pixels. Concepts regarding image registration are presented, including phase correlation, non-rigid registration and homography. The thesis addresses the suitability of different web mapping libraries for building a visualization tool for deep mine shafts. Attention is focused on handling large volumes of data, resulting from the demand for a high image quality with a resolution of 1 pixel per millimetre for 2.5 x 10^4 m^2. A mapping tool is developed, using the Leaflet JavaScript library. The generation of a tile-layer as input for the mapping application is achieved, using GDAL for generic tiling of hyper resolution images. JSON is used as data exchange format and the JSON files provide meta-data associated with tag representations in the hyper resolution image. In order to guarantee consistency in connecting meta-data to pixel coordinates an example for the use of a common coordinate reference system is proposed. Finally, the functionality of the mapping application is presented and the framework is tested.
Translated title of the contributionEin Framework und Arbeitsablauf für die Visualisierung hochauflösender Bilder in der Minenschachtinspektion
Original languageEnglish
Awarding Institution
  • Montanuniversität
  • O'Leary, Paul, Supervisor (internal)
Award date15 Dec 2017
Publication statusPublished - 2017

Bibliographical note

no embargo


  • automatic shaft monitoring
  • hyper resolution images
  • web mapping applications
  • Leaflet

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