The new Tandem Dual-Antenna Spaceborne Synthetic Aperture Radar (SAR) Interferometry (TDA-InSAR) system, addresses the limitations of current spaceborne Synthetic Aperture Radar (SAR) systems by providing a more reliable and efficient method for 3D surface mapping. The system’s innovative design allows for single-pass acquisitions, significantly reducing the time required for data collection and enhancing the precision of 3D reconstructions in various terrains, including built-up areas and vegetation canopies.
Synthetic Aperture Radar (SAR) interferometry (InSAR) is a powerful tool for producing high-resolution topographic maps. However, traditional InSAR techniques face challenges such as the ill-posed 2D phase unwrapping problem and the need for multiple acquisitions over time, which can introduce errors due to atmospheric and orbital changes. The TDA-InSAR system overcomes these challenges by utilizing dual-antenna and dual-satellite configurations to acquire optimal interferograms for an asymptotic 3D phase unwrapping algorithm.
Researchers from Fudan University and the Chinese Academy of Sciences have developed a novel Tandem Dual-Antenna Spaceborne SAR Interferometry (TDA-InSAR) system, designed to achieve optimal multi-baseline interferograms for fast 3D reconstruction. The study (DOI: 10.34133/remotesensing.0137), published on 6 May 2024, in the journal Journal of Remote Sensing, presents a systematic investigation into the performance of various baseline configurations and the impact of different error sources on the system’s accuracy.
The TDA-InSAR system employs a dual-antenna and dual-satellite approach to capture optimal interferograms, which are then processed through an asymptotic 3D phase unwrapping algorithm. This method allows for rapid and accurate 3D reconstruction with minimal acquisitions, overcoming the limitations of previous technologies. The study’s simulations demonstrated that the TDA-InSAR system could achieve a remarkable relative height precision of 0.3 meters in urban areas and 1.7 meters in dense vegetation, outperforming existing SAR interferometry methods. The research also explored various baseline configurations, finding that a bi-static mode with a flexible satellite baseline provided the best results.
