Details
| Original language | English |
|---|---|
| Title of host publication | 2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1343-1346 |
| Number of pages | 4 |
| ISBN (print) | 9781424495658, 9781424495665 |
| Publication status | Published - 2010 |
| Event | 2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 - Honolulu, United States Duration: 25 Jul 2010 → 30 Jul 2010 |
Publication series
| Name | International Geoscience and Remote Sensing Symposium (IGARSS) |
|---|
Abstract
Light Detection and Ranging (LiDAR) has become a valuable data source for urban data acquisition. This paper gives an overview about current trends in the automation of object extraction from LiDAR data. These trends are caused by the technical development of LiDAR sensors that enable the acquisition of point clouds at higher resolution as well as the recording of the full waveform of the returned signal, and by the adoption of processing techniques from the Computer Vision and Pattern Recognition communities. Triggered by these developments, new applications are being found for LiDAR data.
Keywords
- Automation, Extraction, LiDAR, Urban
ASJC Scopus subject areas
- Computer Science(all)
- Computer Science Applications
- Earth and Planetary Sciences(all)
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2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010. Institute of Electrical and Electronics Engineers Inc., 2010. p. 1343-1346 5652949 (International Geoscience and Remote Sensing Symposium (IGARSS)).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Automation of object extraction from LiDAR in urban areas
AU - Rottensteiner, Franz
PY - 2010
Y1 - 2010
N2 - Light Detection and Ranging (LiDAR) has become a valuable data source for urban data acquisition. This paper gives an overview about current trends in the automation of object extraction from LiDAR data. These trends are caused by the technical development of LiDAR sensors that enable the acquisition of point clouds at higher resolution as well as the recording of the full waveform of the returned signal, and by the adoption of processing techniques from the Computer Vision and Pattern Recognition communities. Triggered by these developments, new applications are being found for LiDAR data.
AB - Light Detection and Ranging (LiDAR) has become a valuable data source for urban data acquisition. This paper gives an overview about current trends in the automation of object extraction from LiDAR data. These trends are caused by the technical development of LiDAR sensors that enable the acquisition of point clouds at higher resolution as well as the recording of the full waveform of the returned signal, and by the adoption of processing techniques from the Computer Vision and Pattern Recognition communities. Triggered by these developments, new applications are being found for LiDAR data.
KW - Automation
KW - Extraction
KW - LiDAR
KW - Urban
UR - http://www.scopus.com/inward/record.url?scp=78650891458&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2010.5652949
DO - 10.1109/IGARSS.2010.5652949
M3 - Conference contribution
AN - SCOPUS:78650891458
SN - 9781424495658
SN - 9781424495665
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 1343
EP - 1346
BT - 2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
Y2 - 25 July 2010 through 30 July 2010
ER -