Deep Network for Simultaneous Decomposition and Classification in UWB-SAR Imagery

01/16/2018
by   Tiep Vu, et al.
0

Classifying buried and obscured targets of interest from other natural and manmade clutter objects in the scene is an important problem for the U.S. Army. Targets of interest are often represented by signals captured using low-frequency (UHF to L-band) ultra-wideband (UWB) synthetic aperture radar (SAR) technology. This technology has been used in various applications, including ground penetration and sensing-through-the-wall. However, the technology still faces a significant issues regarding low-resolution SAR imagery in this particular frequency band, low radar cross sections (RCS), small objects compared to radar signal wavelengths, and heavy interference. The classification problem has been firstly, and partially, addressed by sparse representation-based classification (SRC) method which can extract noise from signals and exploit the cross-channel information. Despite providing potential results, SRC-related methods have drawbacks in representing nonlinear relations and dealing with larger training sets. In this paper, we propose a Simultaneous Decomposition and Classification Network (SDCN) to alleviate noise inferences and enhance classification accuracy. The network contains two jointly trained sub-networks: the decomposition sub-network handles denoising, while the classification sub-network discriminates targets from confusers. Experimental results show significant improvements over a network without decomposition and SRC-related methods.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 4

10/04/2018

Classifying Multi-channel UWB SAR Imagery via Tensor Sparsity Learning Techniques

Using low-frequency (UHF to L-band) ultra-wideband (UWB) synthetic apert...
07/18/2021

Fully Polarimetric SAR and Single-Polarization SAR Image Fusion Network

The data fusion technology aims to aggregate the characteristics of diff...
11/09/2021

Classification of sums of complex exponentials

Numerous signals in relevant signal processing applications can be model...
01/01/2011

Generation of SAR Image for Real-life Objects using General Purpose EM Simulators

In the applications related to airborne radars, simulation has always pl...
10/22/2019

Fourier Analysis, Computing, and Image Formation for Spotlight Synthetic Aperture Radar

This article is written to serve as an introduction and survey of imagin...
08/28/2020

Through-the-Wall Nonlinear SAR Imaging

An inverse scattering problem for SAR data in application to through-the...
04/14/2021

Change Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network

Change detection from synthetic aperture radar (SAR) imagery is a critic...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.