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Sea floor classification from airborne lidar data

Tulldahl, H. Michael ; Vahlberg, Claes ; Axelsson, Andreas ; Karlsson, Henrik and Jonsson, Peter LU orcid (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.

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Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
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}},
}