Title :
Some Statistical Properties of Surface Slopes via Remote Sensing Using Variable Reflection Angle Considering a Non-Gaussian Probability Density Function
Author :
Alvarez-Borrego, Josue ; Martin-Atienza, Beatriz
Author_Institution :
Opt. Dept., Centro de Investig. Cienc. y de Educ. Super. de Ensenada, Ensenada, Mexico
Abstract :
Relationships to obtain information concerning some statistical properties of surface slope from statistical properties of the image intensity in remotely sensed images, considering a variable detector line-of-sight angle, are shown. The brightness distribution in sunlight reflected from the ruffled sea surface is related to the joint probability distribution of the two components of surface slope. A 1-D section through the brightness distribution provides values of the joint distribution along a line through the joint distribution. Considering the assumption that all the ocean waves are moving along a single direction and that the observer and the sun are both in the vertical plane containing this direction, a new expression between the variance of the intensity in the image and the variance of the surface slopes is derived considering a non-Gaussian statistics where the skewness and kurtosis moments are taken into account. The relation between correlation functions of the intensities in the image and surface slopes is numerically analyzed; in the non-Gaussian statistics, the skewness moment was considered only. The 1-D case is considered, and the results are graphically presented.
Keywords :
geophysical image processing; ocean waves; probability; reflectivity; remote sensing; sunlight; brightness distribution; image intensity; joint probability distribution; kurtosis moments; nonGaussian probability density function; ocean waves; remote sensing; ruffled sea surface; skewness; statistical properties; sunlight; surface slopes; variable detector line-of-sight angle; variable reflection angle; Correlation; Detectors; Optical surface waves; Probability density function; Sea surface; Surface treatment; Surface waves; Glitter pattern; random processes; sunglint;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2012.2201912