# High Quality Large-Scale 3-D Urban Mapping with Multi-Master TomoSAR

arXiv: https://arxiv.org/abs/2305.04541 · HTML: https://mlsanity.com/paper/2305.04541/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 15 references that are in the map.
- First posted on arXiv 8 May 2023.

## Builds on (most cited first, 3 of 3)

- [Non-Local Compressive Sensing Based SAR Tomography](https://mlsanity.com/paper/1811.02046/) (2018)
- [A fast and accurate basis pursuit denoising algorithm with application to super-resolving tomographic SAR](https://mlsanity.com/paper/1805.01759/) (2018)
- [Spaceborne Staring Spotlight SAR Tomography - A First Demonstration with TerraSAR-X](https://mlsanity.com/paper/1807.06826/) (2018)

## Abstract (arXiv)

Multi-baseline interferometric synthetic aperture radar (InSAR) techniques are effective approaches for retrieving the 3-D information of urban areas. In order to obtain a plausible reconstruction, it is necessary to use large-stack interferograms. Hence, these methods are commonly not appropriate for large-scale 3-D urban mapping using TanDEM-X data where only a few acquisitions are available in average for each city. This work proposes a new SAR tomographic processing framework to work with those extremely small stacks, which integrates the non-local filtering into SAR tomography inversion. The applicability of the algorithm is demonstrated using a TanDEM-X multi-baseline stack with 5 bistatic interferograms over the whole city of Munich, Germany. Systematic comparison of our result with airborne LiDAR data shows that the relative height accuracy of two third buildings is within two meters, which outperforms the TanDEM-X raw DEM. The promising performance of the proposed algorithm paved the first step towards high quality large-scale 3-D urban mapping.