Synthetic Aperture Radar (SAR) Calibration & Validation are critical processes to ensure the accuracy, precision and reliability of SAR imaging systems. These activities are particularly essential in dynamic environments over extended periods, where changes in onboard SAR payload, data processing software or environmental conditions can influence the system performance. This paper provides a detailed exposition on the conceptualization and development of a Graphical User Interface (GUI), specifically designed to input essential parameters for comprehensive assessment of radiometric, geometric and polarimetric SAR image quality parameters from both Point and Distributed target data. The software excels in presenting analysis results in a well-organized tabulated format & offers a valuable feature allowing users to have the visual representation of the Impulse Response and Gamma Naught pattern data. A standout attribute of the software lies in its ability to effortlessly store and retrieve analysis data through its interface with SQLite Database. This seamlessly integrated Database System streamlines the organization and archival of calibration results, establishing a thorough historical record for each analysis. The utilization of the SQLite database guarantees data integrity & empowers users to effortlessly retrieve and compare calibration data over time, fostering effective trend analysis and enabling a comprehensive evaluation of the long-term performance of SAR system. The software has been created with Python programming language as front-end and SQLite as part of back-end. The developed GUI software package represents a significant advancement in SAR system calibration methodologies, providing SAR data analyst with a user-friendly interface for efficient SAR calibration analysis.
No takes yet. Share an insight, caveat, or question.
Basak et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: