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Research on 2F Optical Correlator Based on Neural Network Filter for Recognizing Large-Angle Rotation Distortion Target
- Source :
- IEEE Photonics Journal, Vol 12, Iss 2, Pp 1-10 (2020)
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- It is difficult for optical correlator to recognize the target with large rotation distortion by using existing filters. To solve this problem, a new neural network model is constructed based on the physical recognition process of planar integrated 2F optical correlator. The new optical filter is optimized by training the neural network. The planar integrated 2F optical correlator can output sharp correlation peaks by using the new filter to recognize targets with arbitrary rotation distortion. Compared with the traditional OTSDF filter, the average increase of correlation peak index is up to 1402.4%, while the recognition performance of distortion invariant is also better than the new NNCRF filter. The simulation and experimental results show that the optical filter designed in this paper can effectively solve the problem of weak recognition ability of optical correlator for rotating distortion targets, especially for large angle rotating distortion targets.
- Subjects :
- 0301 basic medicine
lcsh:Applied optics. Photonics
Computer science
neural network
01 natural sciences
010309 optics
03 medical and health sciences
Planar
Distortion
0103 physical sciences
optical filter
lcsh:QC350-467
Electrical and Electronic Engineering
Invariant (mathematics)
Optical filter
Artificial neural network
lcsh:TA1501-1820
Atomic and Molecular Physics, and Optics
030104 developmental biology
Filter (video)
rotation distortion recognition
Optical correlator
Optical recognition
Algorithm
Rotation (mathematics)
lcsh:Optics. Light
Subjects
Details
- Language :
- English
- ISSN :
- 19430655
- Volume :
- 12
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- IEEE Photonics Journal
- Accession number :
- edsair.doi.dedup.....b887f03185f869b6dd5b854412fc20e8