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2018 | OriginalPaper | Chapter

Automatic Target Recognition for SAR Images Based on Fuzzy Logic Systems

Authors : Xuhong Feng, Qilian Liang

Published in: Communications, Signal Processing, and Systems

Publisher: Springer Singapore

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Abstract

Automatic target recognition (ATR) generally refers to the autonomous or aided target detection and recognition by computer processing of data from a variety of sensors such as forward looking infrared (FLIR), synthetic aperture radar (SAR), inverse synthetic aperture radar (ISAR), laser radar (LADAR), millimeter wave (MMW) radar, multispectral/hyperspectral sensors, low-light television (LLTV), video, etc. SAR is a coherent active imaging method that utilizes the motion of a radar mounted on a vehicle such as an aircraft (airborne SAR) or a satellite (spaceborne SAR) to synthesize the effect of a large aperture radar. Motivated by the unique character of fuzzy logic system, simultaneously handling numerical data and linguistic knowledge, and the promising knowledge-based approach, we propose an FLS-based approach to SAR ATR.

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B. Bhanu, D. Dudgeon, E. Zelnio, A. Rosenfeld, D. Casasent, I. Reed, Guest editorial: introduction to the special issue on automatic target detection and recognition. IEEE Trans. Image Process. 6(1), 1–4 (1997)CrossRef

K. Ikeuchi et al., Model-based SAR ATR system. Proc. SPIE 2757, 376–387 (1996)CrossRef

R. Voles, Resolving resolutions: imaging and mapping by modern radar, in IEE Proceedings-F, vol. 140, no. 1 (1993), pp. 1–11, Feb 1993

Q. Liang, X. Cheng, KUPS: knowledge-based ubiquitous and persistent sensor networks for threat assessment. IEEE Trans. Aerosp. Electron. Syst. 44(3) (2008)

Q. Liang, Automatic target recognition using waveform diversity in radar sensor networks. Pattern Recogn. Lett. (Elsevier) 29(2), 377–381 (2008)CrossRef

Q. Liang, X. Cheng, S. Samn, NEW: network-enabled electronic warfare for target recognition. IEEE Trans. Aerosp. Electron. Syst. 46(2), 558–568 (2010)CrossRef

Q. Liang, X. Cheng, S. Huang, D. Chen, Opportunistic sensing in wireless sensor networks: theory and applications. IEEE Trans. Comput. 63(8), 2002–2010 (2014)CrossRefMATHMathSciNet

Q. Liang, Radar sensor wireless channel modeling in foliage environment: UWB versus narrowband. IEEE Sens. J. 11(6), 1448–1457 (2011)CrossRef

C. Fosgate, Multiscale segmentation and anomaly enhancement of SAR imagery. IEEE Trans. Image Process. 6(1), 7–21 (1997)CrossRef

10.

C. Wiley, Synthetic aperture radars. IEEE Trans. AES 21, 440–443 (1985)

11.

M. Soumekh, Fourier Array Imaging (Prentice Hall, Englewood Cliffs, NJ, 1994)MATH

12.

L. Novak, S. Halversen, G. Owirka, M. Hiett, Effects of poarization and resolution on SAR ATR. IEEE Trans. Aerosp. Electron. Syst. 33(1), 102–115 (1997)CrossRef

13.

K.-C. Chang, Y.-C. Lu, High resolution polarimetric SAR target classification with neural network, in Proceedings of IEEE Conference on Fuzzy System (1995), pp. 1681–1688

14.

L. Perlovsky et al., Model-based neural network for target detection in SAR images. IEEE Trans. Image Process. 6(1), 203–216 (1997)CrossRef

15.

A. Mahalanobis et al., Multi-class SAR ATR using shift-invariant correlation filters. Pattern Recogn. 27(4), 619–626 (1994)CrossRef

16.

A. Moghaddamzadeh et al., A fuzzy region growing approach for segmentation of color images. Pattern Recogn. 30(6), 867–881 (1997)CrossRef

17.

J.M. Mendel, Fuzzy logic systems for engineering: a tutorial. Proc. IEEE 83(3), 345–377 (1995)CrossRef

18.

S. Chen et al., Neural-fuzzy classification for segmentation of remotely sensed images. IEEE Trans. Signal Process. 11, 2639–2654 (1997)CrossRef

19.

S. Rogers et al., Automatic target recognition using neural networks. Proc. SPIE 2492, 346–360 (1995)CrossRef

20.

L. Novak et al., Radar target identification using spatial matched filters. Pattern Recogn. 27(4), 607–617 (1994)CrossRef

21.

M. Stevens, J. Beveridge, Precise matching of 3-D target models to multisensor data. IEEE Trans. Image Process. 6(1), 126–142 (1997)CrossRef

22.

C. Olson, D. Huttenlocher, Automatic target recognition by matching oriented edge pixels. IEEE Trans. Image Process. 6(1), 103–113 (1997)CrossRef

23.

D. Ballard, Generalizing the Hough transform to detect arbitrary patterns. Pattern Recogn. 13(2), 111–122 (1981)CrossRefMATH

24.

W. Grimson, Object Recognition by Computer (MIT Press 1990)

25.

Q. Liang, Situation understanding based on heterogeneous sensor networks and human-inspired favor weak fuzzy logic system. IEEE Syst. J. 5(2), 156–163 (2011)CrossRef

Title: Automatic Target Recognition for SAR Images Based on Fuzzy Logic Systems
Authors: Xuhong Feng
Qilian Liang
Publisher: Springer Singapore
Book: Communications, Signal Processing, and Systems
Print ISBN: 978-981-10-3228-8

Electronic ISBN: 978-981-10-3229-5

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-981-10-3229-5_81