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Feature based image processing methods applied to bathymetric measurements from airborne remote sensing in fluvial environments.

Carbonneau, Patrice E.; Lane, Stuart N.; Bergeron, Normand (2006). Feature based image processing methods applied to bathymetric measurements from airborne remote sensing in fluvial environments. Earth Surface Processes and Landforms , vol. 31 , nº 11. p. 1413-1423. DOI: 10.1002/esp.1341.

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Résumé

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 m² spatial resolution with a precision of ±15 cm, which allows for a more widespread application of bathymetric mapping.

Type de document: Article
Mots-clés libres: bathymetry; image processing; remote sensing; rivers
Centre: Centre Eau Terre Environnement
Date de dépôt: 08 janv. 2021 20:37
Dernière modification: 08 janv. 2021 20:37
URI: http://espace.inrs.ca/id/eprint/10974

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