Skip to main content

2018 | OriginalPaper | Buchkapitel

Automatic Target Recognition for SAR Images Based on Fuzzy Logic Systems

verfasst von : Xuhong Feng, Qilian Liang

Erschienen in: Communications, Signal Processing, and Systems

Verlag: Springer Singapore

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

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.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat 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 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
2.
Zurück zum Zitat K. Ikeuchi et al., Model-based SAR ATR system. Proc. SPIE 2757, 376–387 (1996)CrossRef K. Ikeuchi et al., Model-based SAR ATR system. Proc. SPIE 2757, 376–387 (1996)CrossRef
3.
Zurück zum Zitat R. Voles, Resolving resolutions: imaging and mapping by modern radar, in IEE Proceedings-F, vol. 140, no. 1 (1993), pp. 1–11, Feb 1993 R. Voles, Resolving resolutions: imaging and mapping by modern radar, in IEE Proceedings-F, vol. 140, no. 1 (1993), pp. 1–11, Feb 1993
4.
Zurück zum Zitat 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, X. Cheng, KUPS: knowledge-based ubiquitous and persistent sensor networks for threat assessment. IEEE Trans. Aerosp. Electron. Syst. 44(3) (2008)
5.
Zurück zum Zitat Q. Liang, Automatic target recognition using waveform diversity in radar sensor networks. Pattern Recogn. Lett. (Elsevier) 29(2), 377–381 (2008)CrossRef Q. Liang, Automatic target recognition using waveform diversity in radar sensor networks. Pattern Recogn. Lett. (Elsevier) 29(2), 377–381 (2008)CrossRef
6.
Zurück zum Zitat 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. Samn, NEW: network-enabled electronic warfare for target recognition. IEEE Trans. Aerosp. Electron. Syst. 46(2), 558–568 (2010)CrossRef
7.
Zurück zum Zitat 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, X. Cheng, S. Huang, D. Chen, Opportunistic sensing in wireless sensor networks: theory and applications. IEEE Trans. Comput. 63(8), 2002–2010 (2014)CrossRefMATHMathSciNet
8.
Zurück zum Zitat Q. Liang, Radar sensor wireless channel modeling in foliage environment: UWB versus narrowband. IEEE Sens. J. 11(6), 1448–1457 (2011)CrossRef Q. Liang, Radar sensor wireless channel modeling in foliage environment: UWB versus narrowband. IEEE Sens. J. 11(6), 1448–1457 (2011)CrossRef
9.
Zurück zum Zitat C. Fosgate, Multiscale segmentation and anomaly enhancement of SAR imagery. IEEE Trans. Image Process. 6(1), 7–21 (1997)CrossRef C. Fosgate, Multiscale segmentation and anomaly enhancement of SAR imagery. IEEE Trans. Image Process. 6(1), 7–21 (1997)CrossRef
10.
Zurück zum Zitat C. Wiley, Synthetic aperture radars. IEEE Trans. AES 21, 440–443 (1985) C. Wiley, Synthetic aperture radars. IEEE Trans. AES 21, 440–443 (1985)
11.
Zurück zum Zitat M. Soumekh, Fourier Array Imaging (Prentice Hall, Englewood Cliffs, NJ, 1994)MATH M. Soumekh, Fourier Array Imaging (Prentice Hall, Englewood Cliffs, NJ, 1994)MATH
12.
Zurück zum Zitat 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 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.
Zurück zum Zitat 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 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.
Zurück zum Zitat L. Perlovsky et al., Model-based neural network for target detection in SAR images. IEEE Trans. Image Process. 6(1), 203–216 (1997)CrossRef 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.
Zurück zum Zitat A. Mahalanobis et al., Multi-class SAR ATR using shift-invariant correlation filters. Pattern Recogn. 27(4), 619–626 (1994)CrossRef A. Mahalanobis et al., Multi-class SAR ATR using shift-invariant correlation filters. Pattern Recogn. 27(4), 619–626 (1994)CrossRef
16.
Zurück zum Zitat A. Moghaddamzadeh et al., A fuzzy region growing approach for segmentation of color images. Pattern Recogn. 30(6), 867–881 (1997)CrossRef A. Moghaddamzadeh et al., A fuzzy region growing approach for segmentation of color images. Pattern Recogn. 30(6), 867–881 (1997)CrossRef
17.
Zurück zum Zitat J.M. Mendel, Fuzzy logic systems for engineering: a tutorial. Proc. IEEE 83(3), 345–377 (1995)CrossRef J.M. Mendel, Fuzzy logic systems for engineering: a tutorial. Proc. IEEE 83(3), 345–377 (1995)CrossRef
18.
Zurück zum Zitat S. Chen et al., Neural-fuzzy classification for segmentation of remotely sensed images. IEEE Trans. Signal Process. 11, 2639–2654 (1997)CrossRef S. Chen et al., Neural-fuzzy classification for segmentation of remotely sensed images. IEEE Trans. Signal Process. 11, 2639–2654 (1997)CrossRef
19.
Zurück zum Zitat S. Rogers et al., Automatic target recognition using neural networks. Proc. SPIE 2492, 346–360 (1995)CrossRef S. Rogers et al., Automatic target recognition using neural networks. Proc. SPIE 2492, 346–360 (1995)CrossRef
20.
Zurück zum Zitat L. Novak et al., Radar target identification using spatial matched filters. Pattern Recogn. 27(4), 607–617 (1994)CrossRef L. Novak et al., Radar target identification using spatial matched filters. Pattern Recogn. 27(4), 607–617 (1994)CrossRef
21.
Zurück zum Zitat M. Stevens, J. Beveridge, Precise matching of 3-D target models to multisensor data. IEEE Trans. Image Process. 6(1), 126–142 (1997)CrossRef 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.
Zurück zum Zitat C. Olson, D. Huttenlocher, Automatic target recognition by matching oriented edge pixels. IEEE Trans. Image Process. 6(1), 103–113 (1997)CrossRef C. Olson, D. Huttenlocher, Automatic target recognition by matching oriented edge pixels. IEEE Trans. Image Process. 6(1), 103–113 (1997)CrossRef
23.
Zurück zum Zitat D. Ballard, Generalizing the Hough transform to detect arbitrary patterns. Pattern Recogn. 13(2), 111–122 (1981)CrossRefMATH D. Ballard, Generalizing the Hough transform to detect arbitrary patterns. Pattern Recogn. 13(2), 111–122 (1981)CrossRefMATH
24.
Zurück zum Zitat W. Grimson, Object Recognition by Computer (MIT Press 1990) W. Grimson, Object Recognition by Computer (MIT Press 1990)
25.
Zurück zum Zitat 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 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
Metadaten
Titel
Automatic Target Recognition for SAR Images Based on Fuzzy Logic Systems
verfasst von
Xuhong Feng
Qilian Liang
Copyright-Jahr
2018
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-3229-5_81

Neuer Inhalt