Anisotropic surfaces detection using intensity maps acquired by an airborne LiDAR emitting in near-IR over coastal environments

Author

Garestier, Franck ; Bretel, Patrice ; Monfort, Olivier ; Levoy, Franck

Author_Institution

Lab. M2C, Univ. de Caen-Basse Normandie, Caen, France

fYear

2011

fDate

24-29 July 2011

Firstpage

2341

Lastpage

2344

Abstract

Backscatter intensity maps associated with DEMs acquired by an airborne LiDAR are analyzed to estimate surface physical parameters in coastal environments. Since the texture of the intensity maps reflects geomorphological features, different estimators have been developed and evaluated for detection of spatial anisotropy. LiDAR data are analyzed to form an unbiased anisotropy map, fully independent of the intensity level.

Keywords

digital elevation models; geomorphology; geophysical image processing; geophysical techniques; image texture; remote sensing by laser beam; DEM; airborne LIDAR; anisotropic surface detection; anisotropy map; backscatter intensity map; coastal environment; geomorphological feature; image texture; near infrared radiation; spatial anisotropy; surface physical parameter; Anisotropic magnetoresistance; Coherence; Correlation; Laser radar; Sea measurements; Sea surface; Signal to noise ratio; LiDAR; coastal;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Conference_Location

Vancouver, BC

ISSN

2153-6996

Print_ISBN

978-1-4577-1003-2

Type

conf

DOI

10.1109/IGARSS.2011.6049679

Filename

6049679