Sea floor classification from airborne lidar data
(2007) Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing III In Proceedings of SPIE - The International Society for Optical Engineering 6750.- Abstract
Airborne depth sounding lidar has proven to be a valuable sensor for rapid and accurate sounding of shallow areas. The received lidar pulse echo contains information of the sea floor depth, but also other data can be extracted. We currently perform work on bottom classification and water turbidity estimation based on lidar data. In this paper we present the theoretical background and experimental results on bottom classification. The algorithms are developed from simulations and then tested on experimental data from the operational airborne lidar system Hawk Eye II. We compare the results to field data taken from underwater video recordings. Our results indicate that bottom classification from airborne lidar data can be made with high... (More)
Airborne depth sounding lidar has proven to be a valuable sensor for rapid and accurate sounding of shallow areas. The received lidar pulse echo contains information of the sea floor depth, but also other data can be extracted. We currently perform work on bottom classification and water turbidity estimation based on lidar data. In this paper we present the theoretical background and experimental results on bottom classification. The algorithms are developed from simulations and then tested on experimental data from the operational airborne lidar system Hawk Eye II. We compare the results to field data taken from underwater video recordings. Our results indicate that bottom classification from airborne lidar data can be made with high accuracy.
(Less)
- author
- Tulldahl, H. Michael
; Vahlberg, Claes
; Axelsson, Andreas
; Karlsson, Henrik
and Jonsson, Peter
LU
- organization
- publishing date
- 2007
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Eelgrass, HawkEye II, Lidar, Multiple scattering, Remote sensing, Underwater optics
- host publication
- Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing III
- series title
- Proceedings of SPIE - The International Society for Optical Engineering
- volume
- 6750
- article number
- 675003
- conference name
- Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing III
- conference location
- Florence, Italy
- conference dates
- 2008-09-17 - 2008-09-19
- external identifiers
-
- scopus:57549119323
- ISSN
- 0277-786X
- ISBN
- 9780819469083
- DOI
- 10.1117/12.737922
- language
- English
- LU publication?
- yes
- id
- cd5e2eda-8e14-407e-953d-f580e18420f5
- date added to LUP
- 2025-06-02 11:03:51
- date last changed
- 2025-06-04 02:23:10
@inproceedings{cd5e2eda-8e14-407e-953d-f580e18420f5, abstract = {{<p>Airborne depth sounding lidar has proven to be a valuable sensor for rapid and accurate sounding of shallow areas. The received lidar pulse echo contains information of the sea floor depth, but also other data can be extracted. We currently perform work on bottom classification and water turbidity estimation based on lidar data. In this paper we present the theoretical background and experimental results on bottom classification. The algorithms are developed from simulations and then tested on experimental data from the operational airborne lidar system Hawk Eye II. We compare the results to field data taken from underwater video recordings. Our results indicate that bottom classification from airborne lidar data can be made with high accuracy.</p>}}, author = {{Tulldahl, H. Michael and Vahlberg, Claes and Axelsson, Andreas and Karlsson, Henrik and Jonsson, Peter}}, booktitle = {{Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing III}}, isbn = {{9780819469083}}, issn = {{0277-786X}}, keywords = {{Eelgrass; HawkEye II; Lidar; Multiple scattering; Remote sensing; Underwater optics}}, language = {{eng}}, series = {{Proceedings of SPIE - The International Society for Optical Engineering}}, title = {{Sea floor classification from airborne lidar data}}, url = {{http://dx.doi.org/10.1117/12.737922}}, doi = {{10.1117/12.737922}}, volume = {{6750}}, year = {{2007}}, }