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

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

doi:10.1016/S0030-4018(97)00532-4

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

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

Electrical Engineering

Research output: Contribution to journal › Article › peer-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 language	English (US)
Pages (from-to)	285-301
Number of pages	17
Journal	Optics Communications
Volume	146
Issue number	1-6
DOIs	https://doi.org/10.1016/S0030-4018(97)00532-4
State	Published - 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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10.1016/S0030-4018(97)00532-4

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title = "Synthesize multi-level composite filter for synthetic-aperture radar image identification",

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.",

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AU - Li, Chun Te

AU - Li, Jiang

AU - Yin, Shizhuo

AU - Hudson, Tracy D.

AU - McMillen, Deanna K.

PY - 1998/1/15

Y1 - 1998/1/15

N2 - 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.

AB - 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.

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

Abstract

All Science Journal Classification (ASJC) codes

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