Technical deep dive
Harmonic PolSAR is derived from conventional SAR through a series of deterministic interpretation steps. Here is that evolution, conceptually, without machine learning or probabilistic models.
Conventional surface imaging
Synthetic Aperture Radar is designed to analyze surface backscatter. Standard processing reconstructs surface geometry, roughness, and reflectivity. Delayed or weak signal components are typically discarded as noise.
OutcomeSurface-focused radar imagery.
Harmonic component extraction
Harmonic SAR isolates a weak, delayed, coherent component embedded in the radar return, achieved through deterministic signal processing, not black-box AI. This component enables depth-aware interpretation.
OutcomeHarmonic tomographic layers sensitive to subsurface structure.
Polarimetric scattering analysis
Polarimetric SAR uses multiple polarization channels. Different polarizations reveal different scattering mechanisms and material properties, improving physical interpretability beyond single-polarization SAR.
OutcomeMaterial- and structure-sensitive scattering signatures.
Subsurface interpretation
Harmonic PolSAR applies polarimetric analysis to the harmonic (subsurface-sensitive) signal, polarimetry applied after harmonic decomposition, not to surface backscatter. This enables interpretation of subsurface structures, contrasts, and potential fluid anomalies.
OutcomePhysically interpretable subsurface tomographic models.
Harmonic PolSAR is used for subsurface imaging. Surface deformation monitoring (PSInSAR) is a separate technology, used exclusively for surface motion over time, and is not part of this method.
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