A novel method for 2-D agricultural soil roughness characterization based on a laser scanning technique

In this paper we present a laser profiler, whose main aim is the determination of agricultural soil roughness. Its working principle is based on the acquisition of an image of an object illuminated by a laser beam and on the use of 3D computer vision techniques to obtain the reconstruction of the sc...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Barber, M., Pepe, C., Perna, P., Grings, F., Berlles, J.J., Thibeault, M., Karszenbaum, H.
Formato: CONF
Materias:
Profilers
Rough surfaces
Soil roughness
3D computer vision
Agricultural soils
Autocorrelation functions
Correlation lengths
Laser profilers
Laser scanning
Novel methods
Soil moisture maps
Working principles
Computer vision
Groundwater
Regression analysis
Remote sensing
Soil moisture
Surface measurement
Three dimensional
Two dimensional
Lasers
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_97814244_v2_n1_pII731_Barber
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
Descripción
Sumario:In this paper we present a laser profiler, whose main aim is the determination of agricultural soil roughness. Its working principle is based on the acquisition of an image of an object illuminated by a laser beam and on the use of 3D computer vision techniques to obtain the reconstruction of the scanned object. One of the most important purposes of this device is the attainment of the soil RMS height (s) and the correlation length (l) related to the autocorrelation function. These are fundamental inputs to derive soil moisture maps from soil backscattering data. © 2008 IEEE.

Ejemplares similares