- About
-
The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
Search results
Showing 201 to 210 of 3006 (0.044 seconds)| 201 |
Imaging and segmentation of bone in neurological magnetic resonanceYo, Done Sik January 1998 (has links)
No description available.
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| 202 |
An evaluation of photographic still image functionality with particular reference to image quality and viewer attributes in a higher education learning context : a practitioner's perspectiveSteele, Michael January 2000 (has links)
No description available.
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| 203 |
Advances in static imaging using induced current electrical impedance tomographyCorby, Ralph Stephen January 1999 (has links)
No description available.
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| 204 |
The detection of conductivity variations within the human head using induced current electrical impedance tomography techniquesTowers, Christopher Michael January 1998 (has links)
No description available.
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| 205 |
Recognition exploiting geometrical, appearance, and relational descriptionsByne, J. H. Magnus January 1999 (has links)
No description available.
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| 206 |
A study of near-field optical imaging using an infrared microscopeQuartel, John Conrad January 1999 (has links)
No description available.
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| 207 |
Multi-variable block transforms for motion compensated digital video compressionMilburn, Paul Spencer January 1995 (has links)
No description available.
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| 208 |
The role of colour and luminance in visual and audiovisual speech perceptionMcCotter, Maxine V. January 2001 (has links)
No description available.
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| 209 |
Fast visual inspection for quality controlMehenni, B. January 1989 (has links)
No description available.
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| 210 |
Extraction of DTM from Satellite Images Using Neural NetworksTapper, Gustav January 2016 (has links)
This thesis presents a way to generate a Digital Terrain Model (dtm) from a Digital Surface Model (dsm) and multi spectral images (including the Near Infrared (nir) color band). An Artificial Neural Network (ann) is used to pre-classify the dsm and multi spectral images. This in turn is used to filter the dsm to a dtm. The use of an ann as a classifier provided good results. Additionally, the addition of the nir color band resulted in an improvement of the accuracy of the classifier. Using the classifier, a dtm was easily extracted without removing natural edges or height variations in the forests and cities. These challenges are handled with great satisfaction as compared to earlier methods.
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