Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Faculty of Construction and Environment | en_US |
| dc.contributor | Department of Land Surveying and Geo-Informatics | en_US |
| dc.contributor.advisor | Ding, Xiaoli (LSGI) | - |
| dc.creator | Li, Xumin | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/10535 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Investigation of railway-based radar for slope stability monitoring | en_US |
| dcterms.abstract | Ground-based radar is usually at its best when monitoring small-scale targets like buildings, small urban area or single hillsides and achieve accuracy in sub-millimeters to millimeters level. However, when it comes to large scale surveying work, ground-based radar has its limitations. Therefore, there is a tendency to implement ground-based radar on vehicles or trains to fulfill large scale surveying work. This study used the GPRI-II ground-based radar system, an Inertial Navigation System, an electric vehicle and a rail track to simulate the real situation of implement the radar system on a moving vehicle platform. The study provided two methods for Single Look Complex images co-registration and interferogram generation, giving the basic image processing methods for railway-based radar slope monitoring. | en_US |
| dcterms.extent | vii, 63 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2017 | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.LCSH | Slopes (Soil mechanics) -- Remote sensing | en_US |
| dcterms.LCSH | Radar | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 991022385851103411.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 1.85 MB | Adobe PDF | View/Open |
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