perseo-quality
Python Ecosystem for Remote Sensing & Earth Observation (PERSEO) QUALITY package for SAR products quality analysis and calibration assessment.
Features
Point Target Analysis
Analysis of point targets (passive corner reflectors or transponders) in SAR scenes.
- Impulse Response Function (IRF): range and azimuth resolution, PSLR, ISLR, SSLR (1D and 2D)
- Radar Cross-Section (RCS): RCS estimation, RCS errors, peak phase error, clutter, SCR
- Localization Errors: slant range and ground localization error, azimuth localization error
Radiometric Analysis
Global quality assessment on homogeneous distributed targets.
- Block-wise: automatic scene partitioning into azimuth blocks (bursts for TopSAR/ScanSAR)
- Noise Equivalent Sigma-Zero (NESZ) profiles
- Average Elevation Profiles
- Scalloping Profiles
- KPI estimation
- Configurable block size, range margin, outlier removal and smoothing
- Point-wise: profiles extracted around a selected location
Interferometric Analysis
Coherence analysis from interferometric SAR products.
- 2D coherence intensity histograms along range and azimuth
- Burst-by-burst processing with configurable partitioning
- Graphical representation
Spectral Analysis
Spectral content investigation in the frequency domain.
- Point Target: absolute and phase spectra at each target location
- Distributed Target: spectral amplitude on bursts or azimuth blocks
- Range and azimuth profiles at each third of the data portion
Elevation Notch Analysis
Antenna pointing calibration from dedicated Elevation Notch (EN) products.
- Mis-pointing angle estimation by matching measured range profiles with theoretical EAP
- Robust estimation using EN patterns with central low-power "hole"
Target Ambiguity Ratio (PTAR / DTAR)
Signal-to-ambiguity ratio computation.
- PTAR: Point Target Ambiguity Ratio
- DTAR: Distributed Target Ambiguity Ratio
- Left and right ambiguity localization
Data Model
All analyses are designed around a generic Python protocol, making them format-agnostic and independent of the
input product type. The protocol and its utilities are available in the perseo_quality.io module.
Installation
pip install perseo-quality[graphs]
The [graphs] extra enables graphical output (matplotlib). For development:
pip install perseo-quality[dev,test,docs]
License
This project is licensed under the MIT License. See the LICENSE.txt file for details.
Copyright © 2026-present Aresys S.r.L. info@aresys.it
4 maintainers
Metadata
4 maintainers
Release files for perseo-quality 1.1.0
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Total release size: 361.4 kB
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