Feature based image processing methods applied to bathymetric measurements from airborne remote sensing in fluvial environments
Details
Serval ID
serval:BIB_6457852034D0
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Feature based image processing methods applied to bathymetric measurements from airborne remote sensing in fluvial environments
Journal
Earth Surface Processes and Landforms
ISSN
0197-9337
Publication state
Published
Issued date
2006
Volume
31
Number
11
Pages
1413-1423
Language
english
Notes
Publication type : Article
Abstract
Bathymetric maps produced from remotely sensed imagery are increasingly
common. However, when this method is applied to fluvial environments,
changing scenes and illumination variations severely hinder the
application of well established empirical calibration methods used to
obtain predictive depth-colour relationships. In this paper,
illumination variations are corrected with feature based image
processing, which is used to identify areas in an image with a
near-zero water depth. This information can then be included in the
depth-colour calibration process, which results in an improved
prediction quality. The end product is an automated bathymetric mapping
method capable of a 4 m(2) spatial resolution with a precision of 15
cm, which allows for a more widespread application of bathymetric
mapping.
common. However, when this method is applied to fluvial environments,
changing scenes and illumination variations severely hinder the
application of well established empirical calibration methods used to
obtain predictive depth-colour relationships. In this paper,
illumination variations are corrected with feature based image
processing, which is used to identify areas in an image with a
near-zero water depth. This information can then be included in the
depth-colour calibration process, which results in an improved
prediction quality. The end product is an automated bathymetric mapping
method capable of a 4 m(2) spatial resolution with a precision of 15
cm, which allows for a more widespread application of bathymetric
mapping.
Keywords
bathymetry, image processing, remote sensing, rivers, WATER DEPTHS, SCANNER DATA, MORPHOLOGY, HABITATS, RIVER
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Create date
03/02/2011 15:41
Last modification date
20/08/2019 15:20
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