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A model for generating synthetic VHF SAR forest clutter images
- Source :
- IEEE Transactions on Aerospace and Electronic Systems. July, 2009, Vol. 45 Issue 3, p1138, 15 p.
- Publication Year :
- 2009
-
Abstract
- We propose a model for generating low-frequency synthetic aperture radar (SAR) clutter that relates model parameters to physical characteristics of the scene. The model includes both distributed scattering and large-amplitude discrete clutter responses. The model also incorporates the SAR imaging process, which introduces correlation among image pixels. The model may be used to generate synthetic clutter for a range of environmental operating conditions for use in target detection performance evaluation of the radar and automatic target detection/recognition algorithms. We derive a statistical representation of the proposed clutter model's pixel amplitudes and compare with measured data from the CARABAS-II SAR. Simulated clutter images capture the structure and amplitude responses seen in the measured data. A statistical analysis shows an order of magnitude improvement in model fit error compared with standard maximum-likelihood (ML) density fitting methods.
- Subjects :
- Image processing -- Technology application
Synthetic aperture radar -- Design and construction
Synthetic aperture radar -- Models
Forests and forestry -- Observations
Parameter estimation -- Methods
Technology application
Aerospace and defense industries
Business
Computers
Electronics
Electronics and electrical industries
Subjects
Details
- Language :
- English
- ISSN :
- 00189251
- Volume :
- 45
- Issue :
- 3
- Database :
- Gale General OneFile
- Journal :
- IEEE Transactions on Aerospace and Electronic Systems
- Publication Type :
- Academic Journal
- Accession number :
- edsgcl.209159188