Wavelet Transform Based Target Detection

A novel method of target detection based on a multiple resolution representation of SAR images is described. The signature variation due to interference between scatterers is exploited as resolution is varied. Prominent target scatterers interfere in a characteristic manner as resolution is changed;...

Full description

Saved in:
Bibliographic Details
Main Authors: Subotic, N. S, Collins, L, Reiley, M, Thelen, B, Gorman, J
Format: Report
Language:English
Subjects:
Active & Passive Radar Detection & Equipment
BACKGROUND NOISE
ELECTROMAGNETIC SCATTERING
HOMOGENEITY
MATHEMATICAL MODELS
RADAR CLUTTER
RADAR SIGNATURES
RADAR TARGETS
RESOLUTION
STATISTICAL ANALYSIS
STRATEGY
SYNTHETIC APERTURE RADAR
TARGET DETECTION
VARIATIONS
WAVELET TRANSFORMATIONS
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A novel method of target detection based on a multiple resolution representation of SAR images is described. The signature variation due to interference between scatterers is exploited as resolution is varied. Prominent target scatterers interfere in a characteristic manner as resolution is changed; background noise (clutter) will remain random. Statistical models characterizing the behavior of the multiresolution signature processes for both clutter and cultural objects are derived. A number of detection strategies that exploit these processes are formulated. The detection strategies were applied to simulated SAR scenes containing extended, complex targets in a homogeneous clutter background. Significant detection improvement was demonstrated over pixel by pixel CFAR methods using only the fine resolution signature. These detection strategies were also applied to collected ERIM DCS and Lincoln Laboratory ADTS data. We found that using multiresolution based detection strategies provide a significant increase in detectability of targets.