This release is a pre-release and may not be stable for production use.
SCT Plugin: Ambiguity Ratio Analysis
SCT (SAR Calibration Toolbox) plugin for performing Point and Distributed Target Ambiguity Ratio Analysis on L1 SAR products. Enables evaluation of signal-to-ambiguity ratios for quality assessment through SCT.
Installation
pip install sct-ambiguities-analysis
SCT is automatically installed as a dependency.
Compatibility
This plugin must be installed in the same Python environment as SCT. Once installed, the plugin is automatically discovered and registered by SCT through its entry-point based plugin system; no additional configuration is required.
Documentation
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
2 maintainers
Metadata
2 maintainers
Release files for sct-ambiguities-analysis 1.0.0.dev0
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sct_ambiguities_analysis-1.0.0.dev0.tar.gz | 9.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sct_ambiguities_analysis-1.0.0.dev0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.9 kB
Release files / sct_ambiguities_analysis-1.0.0.dev0.tar.gz
| Download URL | sct_ambiguities_analysis-1.0.0.dev0.tar.gz |
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| Size | 9.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / sct_ambiguities_analysis-1.0.0.dev0-py3-none-any.whl
| Download URL | sct_ambiguities_analysis-1.0.0.dev0-py3-none-any.whl |
|---|---|
| Size | 10.1 kB |
| Tags | Python 3 |
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