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A Coherence Improvement Method Based on Sub-Aperture InSAR for Human Activity Detection.

Zhongbin Wang1,2, Bingnan Wang1, Maosheng Xiang1,2

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Summary

This study introduces a new sub-aperture Interferometric Synthetic Aperture Radar (InSAR) method to improve coherence for detecting subtle human activity. The enhanced coherence allows for more reliable identification of human movements in radar imagery.

Keywords:
coherencehuman activity detectioninterferometric synthetic aperture radar (InSAR)security monitoringsub-aperture InSAR

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Area of Science:

  • Geophysics
  • Remote Sensing Technology

Background:

  • Human activity detection is crucial for social security monitoring.
  • Detecting subtle human activity requires high coherence in Interferometric Synthetic Aperture Radar (InSAR) data.
  • Repeat-pass InSAR is a key technique for identifying potential activity between image acquisitions.

Purpose of the Study:

  • To present a novel coherence improvement approach using sub-aperture InSAR for human activity detection.
  • To enhance the detection of subtle human movements by improving SAR image coherence.

Main Methods:

  • A coherence improvement approach based on sub-aperture Interferometric Synthetic Aperture Radar (InSAR).
  • Integration of sub-aperture interferometric results to enhance coherence.
  • Utilizing airborne Ka-band frequency modulated continuous wave (FMCW) InSAR data for validation.

Main Results:

  • The proposed sub-aperture InSAR method effectively improves coherence between two complex SAR images.
  • Demonstrated ability to significantly enhance the detection of human activity.
  • Experimental validation using actual airborne Ka-band FMCW InSAR data.

Conclusions:

  • The sub-aperture InSAR technique offers a viable solution for improving coherence in SAR imagery.
  • This method provides a reliable means for detecting human activity of interest.
  • The approach is validated by experimental results from Ka-band FMCW InSAR data.