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Target Recognition in SAR/ISAR Imagery

Target Recognition in SAR/ISAR Imagery

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Chapter 4 summarized the theory of detection of a target in noise and/or clutter, assuming that the result of a single measurement is a single voltage or test statistic to be compared with a threshold to determine whether the target should be declared present or absent. This chapter discusses an extension of that theory to the case in which several complex voltages are considered simultaneously, in the presence of noise or clutter, and a decision is made regarding whether that set of complex voltages represents a target. The set of complex voltages (often called cells) can represent pixels in a complex SAR/ISAR image. More generally, it can represent any set of complex voltages collected by a radar, including range versus azimuth for a real-beam radar, doppler bin versus angle, polarimetric or interferometric dimensions (Chapter 7), and so forth.

Chapter Contents:

  • 9.1 Constant False-Alarm Ratio
  • 9.2 The Adaptive Matched Filter
  • 9.3 Automatic Target Recognition in SAR Imagery
  • 9.3.1 Prescreening
  • 9.3.2 Discrimination
  • 9.3.3 Classification
  • 9.4 Semiautomated Image Intelligence Processing
  • 9.5 Other Target-Recognition Algorithms
  • References
  • Problems

Inspec keywords: object detection; synthetic aperture radar; radar clutter; Doppler radar

Other keywords: clutter; complex voltages; interferometric dimensions; doppler bin; complex SAR/ISAR image; real-beam radar; target detection; target recognition; polarimetric dimensions

Subjects: Radar theory; Radar equipment, systems and applications; Signal processing and detection

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