Abstract

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 more than twenty 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 TanDEM-X raw digital elevation models (DEM) and 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.

Highlights

  • We extend the concept of nonlocal compressive sensing (CS) Tomographic synthetic aperture radar (TomoSAR) in [20]–[22] and propose a new framework of spaceborne multibaseline synthetic aperture radar (SAR) tomography with TanDEM-X bistatic microstacks, i.e., 3–5 interferograms

  • We choose Munich city as a test site because of a high-quality LiDAR reference available to us, and we propose a complete workflow to compare the TomoSAR point cloud [26] generated by the proposed framework, TanDEM-X digital elevation models (DEMs) product, and LiDAR data

  • A new SAR tomographic inversion framework tailored for a very limited number of measurements is proposed in this article

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Summary

TanDEM-X Mission

TanDEM-X satellite is a German civil and commercial high-resolution synthetic aperture radar (SAR) satellite, which has almost identical configuration as its “sister" TerraSAR-X satellite. Together with TerraSAR-X, they are aiming to provide a global high-resolution digital elevation model (DEM) [1]. Both satellites use a spiral orbit constellation to fly in tight formation in order to acquire the image pair simultaneously, which significantly reduces the temporal decorrelation error and the atmospheric interference. Since its launch in 2010, TanDEM-X has been continuously providing high-quality bistatic interferograms that are nearly free from deformation, atmosphere, and temporal decorrelation

SAR Tomography Techniques
Proposed Framework
NONLOCAL TOMOSAR FOR MULTIMASTER INSAR
Multimaster TomoSAR Imaging Model
Nonlocal Procedure
Spectral Estimation
Model Selection
Robust Height Estimation
ESTIMATION ACCURACY OF TOMOSAR WITH SMALL STACKS
Lower Bound for Microstacks
Monte Carlo Simulations
Data Description
QUANTITATIVE VALIDATION
Object-Based Raster Data Generation
Coregistration of Different Point Clouds
Comparison of Individual Structure
Average Accuracy
Findings
CONCLUSION

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