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Effects of image quality on target recognition

Effects of image quality on target recognition

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Phase gradient SAR image focusing was demonstrated to provide well-focused imagery; cross-range smearing of the imagery was significantly reduced, resulting in higher probability of correct classification as demonstrated by a 20+ target model-based classifier. HDI processing was demonstrated to improve the image quality of complex SAR imagery; the effective resolution of SAR imagery was shown to be increased as demonstrated by the improved Pcc achieved by a ten-target template-based classifier. 2D FFT image formation processing of interrupted SAR phase-history data was shown to yield SAR imagery containing significant artefacts and degraded image quality; CS-based image formation processing (BPDN) was shown to mitigate these image artefacts and produced complex SAR imagery having excellent image quality.

Chapter Contents:

  • 5.1 Introduction
  • 5.2 Improving ATR performance via PGA image quality enhancement
  • 5.3 Improving ATR performance using high resolution, PWF-processed full-polarisation SAR data
  • 5.4 Improving ATR performance via high-definition image processing
  • 5.5 Reconstruction of interrupted SAR imagery
  • 5.6 Summary and conclusions
  • References

Inspec keywords: fast Fourier transforms; image recognition; radar imaging; synthetic aperture radar; gradient methods; image resolution

Other keywords: target recognition; HDI processing; image artefacts mitigation; synthetic aperture radar; phase gradient SAR image focusing; 2D FFT image formation processing; cross-range smearing; image resolution; ten-target template-based classifier; BPDN; image quality; CS-based image formation processing; phase-history data

Subjects: Optimisation techniques; Integral transforms; Radar equipment, systems and applications; Image recognition

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