Synthesize multi-level composite filter for synthetic-aperture radar image identification

Chun Te Li, Jiang Li, Shizhuo Yin, Tracy D. Hudson, Deanna K. McMillen

    Research output: Contribution to journalArticlepeer-review

    8 Scopus citations

    Abstract

    A novel optical correlator system to identify the Synthetic-Aperture Radar (SAR) image based on multilevel composite function (MCF) filters, constructed in input domain, is presented. The MCFs are synthesized by the simulated annealing algorithm, which are suitable to current spatial light modulators because of their limited dynamic range requirement of the MCFs. In this paper, we focus our investigation on the MCFs for the SAR image identification, including the impact of number of levels on discriminability and noise performance. In addition, a unique position encoding technique is also added in the optical system so that MCF can be implemented easily. The simulated and experimental results are presented, which are quite consistent.

    Original languageEnglish (US)
    Pages (from-to)285-301
    Number of pages17
    JournalOptics Communications
    Volume146
    Issue number1-6
    DOIs
    StatePublished - Jan 15 1998

    All Science Journal Classification (ASJC) codes

    • Electronic, Optical and Magnetic Materials
    • Atomic and Molecular Physics, and Optics
    • Physical and Theoretical Chemistry
    • Electrical and Electronic Engineering

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