Schill, Florian ; Eichhorn, Andreas (2018)
Characterisation of discontinuities in laser scanner profiles.
MoLaS 2018. Freiburg (14.11.-15.11.2018)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
For most applications in the laser scanning sector the importance of the processing and analysis of the measured data is increasing rapidly. As a rule, the relevant information must be extracted as efficiently as possible from enormous amounts of data. Since the main part of the measuring information (that is actually of interest) is often concentrated in a few discontinuities (such as edges, peaks, etc.), an algorithm based on the wavelet transform was realized, which enables an automatic identification and characterization of discontinuities in measuring profiles.
This so-called multi scale analysis has the potential to adapt to the respective surface geometry and enables therefore the localization of isolated discontinuities due to a space frequency representation of the measuring profiles. In the next step the identified discontinuities are analyzed after their characteristics (within a regression analysis). Thus, in addition to the localization (position), the type (jump or peak), the direction (sign), the magnitude of the abrupt level change (height) as well as the number of measuring points involved (width) can be characterized.
in measuring profiles.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2018 |
| Autor(en): | Schill, Florian ; Eichhorn, Andreas |
| Art des Eintrags: | Bibliographie |
| Titel: | Characterisation of discontinuities in laser scanner profiles |
| Sprache: | Deutsch |
| Publikationsjahr: | November 2018 |
| Buchtitel: | Mobile Laser Scanning | Technology Workshop |
| Veranstaltungstitel: | MoLaS 2018 |
| Veranstaltungsort: | Freiburg |
| Veranstaltungsdatum: | 14.11.-15.11.2018 |
| URL / URN: | https://www.molas.fraunhofer.de/ |
| Kurzbeschreibung (Abstract): | For most applications in the laser scanning sector the importance of the processing and analysis of the measured data is increasing rapidly. As a rule, the relevant information must be extracted as efficiently as possible from enormous amounts of data. Since the main part of the measuring information (that is actually of interest) is often concentrated in a few discontinuities (such as edges, peaks, etc.), an algorithm based on the wavelet transform was realized, which enables an automatic identification and characterization of discontinuities in measuring profiles. This so-called multi scale analysis has the potential to adapt to the respective surface geometry and enables therefore the localization of isolated discontinuities due to a space frequency representation of the measuring profiles. In the next step the identified discontinuities are analyzed after their characteristics (within a regression analysis). Thus, in addition to the localization (position), the type (jump or peak), the direction (sign), the magnitude of the abrupt level change (height) as well as the number of measuring points involved (width) can be characterized. in measuring profiles. |
| Fachbereich(e)/-gebiet(e): | 13 Fachbereich Bau- und Umweltingenieurwissenschaften 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut für Geodäsie 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut für Geodäsie > Geodetic Measuring Systems and Sensor Technology |
| Hinterlegungsdatum: | 21 Dez 2018 09:53 |
| Letzte Änderung: | 21 Dez 2018 09:53 |
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