Semi-automatic registration of multi-source satellite imagery with varying geometric resolutions

Simple item page
dc.contributor.advisorHabib, Ayman
dc.contributor.authorAl-Ruzouq, Rami
dc.date.accessioned2005-08-16T16:54:50Z
dc.date.available2005-08-16T16:54:50Z
dc.date.issued2004
dc.descriptionBibliography: p. 129-135en
dc.description.abstractImage registration concerns the problem of how to combine data and information from multiple sensors in order to achieve improved accuracy and better inferences about the environment than could be attained through the use of a single sensor. Registration of imagery from multiple sources is essential for a variety of applications in remote sensing, medical diagnosis, computer vision, and pattern recognition. In general, an image registration methodology must deal with four issues. First, a decision has to be made regarding the choice of primitives for the registration procedure. The second issue concerns establishing the registration transformation function that mathematically relates images to be registered. Then, a similarity measure should be devised to ensure the correspondence of conjugate primitives. Finally, a matching strategy has to be designed and implemented as a controlling framework that utilizes the primitives, the similarity measure, and the transformation function to solve the registration problem. The Modified Iterated Hough Transform (MIHT) is used as the matching strategy for automatically deriving an estimate of the parameters involved in the transformation function as well as the correspondence between conjugate primitives. The MIHT procedure follows an optimal sequence for parameter estimation. This sequence takes into account the contribution of linear features with different orientations at various locations within the imagery towards the estimation of the transformation parameters in question. Accurate co-registration of multi-sensor datasets is captured at different times is a prerequisite step for a reliable change detection procedure. Once the registration problem has been solved, the suggested methodology proceeds by detecting changes between the registered images. Derived edges from the registered images are used as the basis for change detection. Edges are utilized because they are invariant regardless of possible radiometric differences between the images in question. Experimental results using real data proved the feasibility and robustness of the suggested approach.en
dc.format.extentxvii, 141 leaves : ill. ; 30 cm.en
dc.identifier.citationAl-Ruzouq, R. (2004). Semi-automatic registration of multi-source satellite imagery with varying geometric resolutions (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/20825en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/20825
dc.identifier.isbn0612936252en
dc.identifier.lccAC1 .T484 2004 A57en
dc.identifier.urihttp://hdl.handle.net/1880/41439
dc.language.isoeng
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.titleSemi-automatic registration of multi-source satellite imagery with varying geometric resolutions
dc.typedoctoral thesis
thesis.degree.disciplineGeomatics Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.item.requestcopytrue
ucalgary.thesis.accessionTheses Collection 58.002:Box 1486 520492003
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
2004_Al-Ruzouq.pdf
Size:
16.83 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Legacy Theses