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Performance Assessment of Change Detection Based on Robust PCA for Wavelength Resolution SAR Images Using

Lucas P Ramos1, Viet T Vu2, Mats I Pettersson2

  • 1Department of Telecommunications, Aeronautics Institute of Technology, São José dos Campos 12228-900, Brazil.

Sensors (Basel, Switzerland)
|April 26, 2025
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Summary

Robust Principal Component Analysis (RPCA) enables Synthetic Aperture Radar (SAR) change detection with non-identical flight passes. This method achieves high detection probability and low false alarms, even with significant pass differences.

Keywords:
RPCASARchange detectionnonidentical passeswavelength resolution

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Area of Science:

  • Remote Sensing
  • Signal Processing
  • Geoscience

Background:

  • Synthetic Aperture Radar (SAR) change detection typically requires images from identical flight passes.
  • Differences in flight passes cause variations in specular reflections and radar cross-sections, complicating conventional change detection.
  • Wavelength-resolution SAR offers improved spatial resolution, stabilizing ground clutter.

Purpose of the Study:

  • To investigate the efficacy of Robust Principal Component Analysis (RPCA) for SAR change detection using non-identical flight passes.
  • To demonstrate that RPCA can overcome the limitations of traditional methods that require similar flight trajectories.

Main Methods:

  • Utilizing wavelength-resolution SAR images acquired with varying flight pass angles.
  • Applying Robust Principal Component Analysis (RPCA) for change detection analysis.
  • Evaluating performance using metrics such as Probability of Detection (PD) and False Alarm Rate (FAR).

Main Results:

  • RPCA successfully performed SAR change detection with flight pass differences up to 95 degrees.
  • For passes with a 5-degree difference, the method achieved a Probability of Detection (PD) above 90% with a False Alarm Rate (FAR) of approximately one per square kilometer.
  • In specific scenarios, a PD of 97.5% was reached with a FAR of 0.917 false alarms per square kilometer.

Conclusions:

  • RPCA is an effective technique for SAR change detection, significantly relaxing the constraint of identical flight passes.
  • The findings indicate a robust approach for change detection in scenarios with non-identical SAR image acquisitions, broadening application possibilities.