DeepAI AI Chat
Log In Sign Up

Two-dimensional structure functions to characterize convective rolls in the marine atmospheric boundary layer from Sentinel-1 SAR images

by   Carlos Granero-Belinchon, et al.
IMT Atlantique

We study the shape of convective rolls in the Marine Atmospheric Boundary Layer from Synthetic Aperture Radar images of the ocean. We propose a multiscale analysis with structure functions which allow an easy generalization to analyse high-order statistics and so to finely describe the shape of the rolls. The two main results are : 1) second order structure function characterizes the size and direction of rolls just like correlation or power spectrum do, 2) high order statistics can be studied with skewness and Flatness which characterize the asymmetry and intermittency of rolls respectively. From the best of our knowledge, this is the first time that the asymmetry and intermittency of rolls is shown from radar images of the ocean surface.


page 3

page 4

page 5


Radar shadow detection in SAR images using DEM and projections

Synthetic aperture radar (SAR) images are widely used in target recognit...

SAR2SAR: a self-supervised despeckling algorithm for SAR images

Speckle reduction is a key step in many remote sensing applications. By ...

Generating High-Order Threshold Functions with Multiple Thresholds

In this paper, we consider situations in which a given logical function ...

High Order Impedance Boundary Condition for the Three-dimensional Scattering Problem in Electromagnetism

In this paper, we propose a variational formulation with the use of high...

High-Order Paired-ASPP Networks for Semantic Segmenation

Current semantic segmentation models only exploit first-order statistics...

Universal Equivariant Multilayer Perceptrons

Group invariant and equivariant Multilayer Perceptrons (MLP), also known...