Neural Network Emulation of the Integral Equation Model with Multiple Scattering
The Integral Equation Model with multiple scattering (IEMM) represents a well-established method that provides a theoretical framework for the scattering of electromagnetic waves from rough surfaces. A critical aspect is the long computational time required to run such a complex model. To deal with...
Main Authors: | Luca Pulvirenti, Francesca Ticconi, Nazzareno Pierdicca |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2009-10-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/9/10/8109/ |
Similar Items
-
InSAR Multitemporal Data over Persistent Scatterers to Detect Floodwater in Urban Areas: A Case Study in Beletweyne, Somalia
by: Luca Pulvirenti, et al.
Published: (2021-12-01) -
Direction-of-Arrival Estimation over Sea Surface from Radar Scattering Based on Convolutional Neural Network
by: Xiuyi Zhao, et al.
Published: (2021-07-01) -
Bistatic Radar Configuration for Soil Moisture Retrieval: Analysis of the Spatial Coverage
by: Luca Pulvirenti, et al.
Published: (2009-09-01) -
Inversion of Electromagnetic Models for Bare Soil Parameter Estimation from Multifrequency Polarimetric SAR Data
by: Nazzareno Pierdicca, et al.
Published: (2008-12-01) -
MODEL AND ALGORITHM FOR CALCULATION OF THE RADAR SIMULATOR OBJECT EFFECTIVE SQUARE OF SCATTERING
by: R. N. Akinshin, et al.
Published: (2018-01-01)