Tandem-X Dem Change Maps Stacks: Towards Tandem-X 4D
The TanDEM-X mission acquires data used for the generation of Digital Elevation Models (DEMs) since 2010. From this data two global DEMs are already generated or in generation. The DEM acquisitions used for new TanDEM-X DEM 2020 are also used to generate
Schweißhelm, Barbara, Lachaise, Marie
openaire +2 more sources
SAR Tomography at the Limit: Building Height Reconstruction Using Only 3-5 TanDEM-X Bistatic Interferograms [PDF]
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.
Yilei Shi+3 more
arxiv +3 more sources
Evaluation of TanDEM-X DEMs on selected Brazilian sites: comparison with SRTM, ASTER GDEM and ALOS AW3D30 [PDF]
A first assessment of the TanDEM-X DEMs over Brazilian territory is presented through a comparison with SRTM, ASTER GDEM and ALOS AW3D30 DEMs in seven study areas with distinct geomorphological contexts, vegetation coverage and land use. Visual analysis and elevation histograms point to a finer effective spatial resolution of TanDEM-X compared to SRTM ...
Carlos Henrique Grohmann
arxiv +3 more sources
The TanDEM-X mission: overview and interferometric performance [PDF]
TanDEM-X (TDX; TerraSAR-X add-on for digital elevation measurement) is an innovative spaceborne X-band earth observation mission that will be launched in June 2010. This paper gives an overview of the TDX mission concept, summarizes the basic products and illustrates the achievable performance.
Sigurd Huber+2 more
openalex +5 more sources
Quantization Effects in TanDEM-X Data [PDF]
TanDEM-X (TerraSAR-X add-on for Digital Elevation Measurement) is an innovative space-borne bistatic synthetic aperture radar (SAR) system comprising the twin satellites TerraSAR-X and TanDEM-X. The primary objective of the mission is the generation of a worldwide, timely, and consistent digital elevation model (DEM) in bistatic SAR configuration with
Michele Martone+2 more
openalex +3 more sources
A Nonlocal InSAR Filter for High-Resolution DEM Generation from TanDEM-X Interferograms [PDF]
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 ...
Gerald Baier+4 more
arxiv +3 more sources
Deep Learning Solutions for TanDEM-X-based Forest Classification [PDF]
In the last few years, deep learning (DL) has been successfully and massively employed in computer vision for discriminative tasks, such as image classification or object detection. This kind of problems are core to many remote sensing (RS) applications as well, though with domain-specific peculiarities.
A Mazza, Francescopaolo Sica
arxiv +3 more sources
TanDEM-X PolarDEM 90 m of Antarctica: Generation and error characterization
. We present the generation and validation of an updated version of the TanDEM-X Digital Elevation Model (DEM) of Antarctica: the TanDEM-X PolarDEM 90 m of Antarctica.
B. Wessel+10 more
semanticscholar +2 more sources
Large-Scale Forest Height Mapping by Combining TanDEM-X and GEDI Data
The present study addresses the development, implementation, and validation of a forest height mapping scheme based on the combination of TanDEM-X interferometric coherence and GEDI waveform measurements.
Changhyun Choi+7 more
semanticscholar +1 more source
On the Derivation of Volume Decorrelation From TanDEM-X Bistatic Coherence
The bistatic interferometric coherence is affected by different sources of error, among which volume decorrelation, which quantifies the amount of noise caused by volume scattering mechanisms.
P. Rizzoli+5 more
semanticscholar +1 more source