A Nonlocal InSAR Filter for High-Resolution DEM Generation from TanDEM-X Interferograms

TL;DR

This paper introduces an adaptive nonlocal InSAR filter that enhances the resolution and reduces noise in digital elevation models derived from TanDEM-X interferograms, outperforming existing methods.

Contribution

The paper proposes a novel nonlocal InSAR filtering technique that adaptively accounts for terrain diversity, improving DEM resolution and noise reduction over current processing methods.

Findings

Increased DEM resolution from 12m to 6m.

Noise level reduced by approximately 50%.

Effective in diverse terrains including urban areas.

Abstract

This paper presents a nonlocal InSAR filter with the goal of generating digital elevation models of higher resolution and accuracy from bistatic TanDEM-X strip map interferograms than with the processing chain used in production. The currently employed boxcar multilooking filter naturally decreases the resolution and has inherent limitations on what level of noise reduction can be achieved. The proposed filter is specifically designed to account for the inherent diversity of natural terrain by setting several filtering parameters adaptively. In particular, it considers the local fringe frequency and scene heterogeneity, ensuring proper denoising of interferograms with considerable underlying topography as well as urban areas. A comparison using synthetic and TanDEM-X bistatic strip map datasets with existing InSAR filters shows the effectiveness of the proposed techniques, most of which could readily be integrated into existing nonlocal filters. The resulting digital elevation models outclass the ones produced with the existing global TanDEM-X DEM processing chain by effectively increasing the resolution from 12m to 6m and lowering the noise level by roughly a factor of two.