Details
| Translated title of the contribution | Integration of information on echo distribution and backscattered intensities in the filter processing of laser data |
|---|---|
| Original language | German |
| Pages (from-to) | 75-90 |
| Number of pages | 16 |
| Journal | Kuste |
| Issue number | 76 |
| Publication status | Published - 2009 |
Abstract
Accurate digital terrain models (DTM) are one of the most important requirements for many applications in coastal management and safety, such as the calculation of the volume of dunes and dikes for the purpose of coastal protection. Airborne LIDAR sensors provide dense height information of large areas in an efficient manner, therefore such data are appropriate to derive suitable DTM. Besides reasons of efficiency and economy, the accuracy and especially the reliability of the data are essential factors for the applicability in safety related domains. In case of moderate surface roughness in non-vegetated areas LIDAR DTM usually provide a standard deviation in height of less than 15 cm. However, the accuracy and reliability of the LIDAR DTM points suffer if the laser beam interacts with vegetation. Several filter algorithms were developed in order to eliminate the vegetation points in LIDAR data sets. Usually, they apply geometric criteria, for instance the slope in a defined neighbourhood, to solve this task. However, in areas of very dense vegetation and rough terrain, where only a few laser pulses are able to penetrate the canopy, such pro-cessing often fails resulting in an upward height shift of the derived DTM. In this paper additional features are proposed, which correspond to the reflectance characteristics of the backscattering objects, to support the filtering process. The introduced new algorithm uses intensity information and the distribution of multiple echoes for adaptive determination of the weights during an iterative surf ace fitting. Based on several control areas located in different types of coastal shrubberies the potential of this method is demonstrated. The results show that the integration of the new features decreases the differences between the LIDAR based surface and the control measurements.
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- Oceanography
- Engineering(all)
- Ocean Engineering
Sustainable Development Goals
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In: Kuste, No. 76, 2009, p. 75-90.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Integration von Informationen über Echoverteilung und Rückstreuintensitäten in den Filterprozess von Laserdaten
AU - Von Göpfert, Jens
AU - Sörgel, Uwe
AU - Heipke, Christian
AU - Brzank, Alexander
PY - 2009
Y1 - 2009
N2 - Accurate digital terrain models (DTM) are one of the most important requirements for many applications in coastal management and safety, such as the calculation of the volume of dunes and dikes for the purpose of coastal protection. Airborne LIDAR sensors provide dense height information of large areas in an efficient manner, therefore such data are appropriate to derive suitable DTM. Besides reasons of efficiency and economy, the accuracy and especially the reliability of the data are essential factors for the applicability in safety related domains. In case of moderate surface roughness in non-vegetated areas LIDAR DTM usually provide a standard deviation in height of less than 15 cm. However, the accuracy and reliability of the LIDAR DTM points suffer if the laser beam interacts with vegetation. Several filter algorithms were developed in order to eliminate the vegetation points in LIDAR data sets. Usually, they apply geometric criteria, for instance the slope in a defined neighbourhood, to solve this task. However, in areas of very dense vegetation and rough terrain, where only a few laser pulses are able to penetrate the canopy, such pro-cessing often fails resulting in an upward height shift of the derived DTM. In this paper additional features are proposed, which correspond to the reflectance characteristics of the backscattering objects, to support the filtering process. The introduced new algorithm uses intensity information and the distribution of multiple echoes for adaptive determination of the weights during an iterative surf ace fitting. Based on several control areas located in different types of coastal shrubberies the potential of this method is demonstrated. The results show that the integration of the new features decreases the differences between the LIDAR based surface and the control measurements.
AB - Accurate digital terrain models (DTM) are one of the most important requirements for many applications in coastal management and safety, such as the calculation of the volume of dunes and dikes for the purpose of coastal protection. Airborne LIDAR sensors provide dense height information of large areas in an efficient manner, therefore such data are appropriate to derive suitable DTM. Besides reasons of efficiency and economy, the accuracy and especially the reliability of the data are essential factors for the applicability in safety related domains. In case of moderate surface roughness in non-vegetated areas LIDAR DTM usually provide a standard deviation in height of less than 15 cm. However, the accuracy and reliability of the LIDAR DTM points suffer if the laser beam interacts with vegetation. Several filter algorithms were developed in order to eliminate the vegetation points in LIDAR data sets. Usually, they apply geometric criteria, for instance the slope in a defined neighbourhood, to solve this task. However, in areas of very dense vegetation and rough terrain, where only a few laser pulses are able to penetrate the canopy, such pro-cessing often fails resulting in an upward height shift of the derived DTM. In this paper additional features are proposed, which correspond to the reflectance characteristics of the backscattering objects, to support the filtering process. The introduced new algorithm uses intensity information and the distribution of multiple echoes for adaptive determination of the weights during an iterative surf ace fitting. Based on several control areas located in different types of coastal shrubberies the potential of this method is demonstrated. The results show that the integration of the new features decreases the differences between the LIDAR based surface and the control measurements.
KW - Airborne laserscanning
KW - Backscattered intensities
KW - Digital terrain models
KW - Echo distribution
KW - Filtering
KW - LIDAR
KW - Vegetation
UR - http://www.scopus.com/inward/record.url?scp=77953968670&partnerID=8YFLogxK
M3 - Artikel
AN - SCOPUS:77953968670
SP - 75
EP - 90
JO - Kuste
JF - Kuste
SN - 0452-7739
IS - 76
ER -