Persistence modeling of angularly dependent synthetic aperture radar imagery

Scott Papson, Ram Mohan Narayanan

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

An image persistence framework is developed to analyze azimuthally varying synthetic aperture radar (SAR) data. The model focuses on cases containing rich aspect data from a single depression angle. The goal is to replace the data's intrinsic viewing geometry dependencies with target-specific dependencies. Both direct mapping functions and cost functions are presented for data transformation. An intensity-only mapping function is realized to illustrate the persistence model in terms of a canonical example, visualization, and classification. The limitations of an intensity-only mapping function are also discussed. Because the new image-space output from the persistence model is closely tied to the radio frequency (RF) characteristics of two different targets and not to the collection geometry, it shows promise for integration into various automated target recognition (ATR) algorithms. Target classification potential was tested using the MSTAR database and simplified template matching schemes. The intensity-only transformation function permits a very low number of persistence images to represent the general RF target characteristics of an assortment of vehicles. The ability to represent target characteristics with relatively low resources could also be beneficial in ATR applications. Overall, the persistence framework shows strong potential as a new tool that can be used in the analysis of multiaspect SAR images.

Original languageEnglish (US)
Article number033013
JournalJournal of Electronic Imaging
Volume17
Issue number3
DOIs
StatePublished - Dec 1 2008

Fingerprint

radar imagery
synthetic aperture radar
Synthetic aperture radar
target recognition
radio frequencies
Template matching
Geometry
Cost functions
radar data
geometry
Visualization
resources
vehicles
templates
costs
output

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Atomic and Molecular Physics, and Optics

Cite this

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Persistence modeling of angularly dependent synthetic aperture radar imagery. / Papson, Scott; Narayanan, Ram Mohan.

In: Journal of Electronic Imaging, Vol. 17, No. 3, 033013, 01.12.2008.

Research output: Contribution to journalArticle

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