Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6049679
