Ocean Surface Observations Using the TanDEM-X Satellite Formation

The TanDEM-X SAR satellite formation permits improved ocean surface observations by means of bistatic along-track interferometry (ATI) when compared to single-satellite systems. The flexible imaging geometry of its two cooperating SAR sensors forms an interferometer that can achieve very high sensitivity to motions of objects on ground. This way, radar imaging of surface currents with unprecedented accuracy, high spatial resolution and wide coverage at the same time becomes possible. We demonstrate the capabilities of the sensor in the contexts of tidal current mapping, measurement of thermohaline and wind-driven ocean currents as well as detection of areas with surface films. We have developed a dedicated postprocessing system for TanDEM-X image products that allows extracting surface current information from the data. By this paper, we address bistatic data acquisition and processing aspects for sea surface imaging with TanDEM-X like interferometric baseline geometry, temporal decorrelation, and phase calibration. We present a variety of examples of data evaluation that clearly demonstrate the application potential of the methodology

River Run Off Measurement With SAR Along Track Interferometry

The paper summarizes the need for global space borne river run-off measurements. It reports about an airborne SAR experiment aimed to measure the surface velocity of the river Isar in Bavaria / Germany. The results from two different SAR techniques, including Along Track Interferometry (ATI) show good correspondence. Finally suggestions for further studies are given

An Interferometric SAR Satellite Mission

The paper provides a critical review of the achievements in SAR interferometry from the ERS mission as well as from the Shuttle Radar Topography Mission SRTM. It describes the development from the original idea of the Interferometric Cartwheel to the concept of a formation flight of identical and active SAR satellites. From the experience gained from ERS and SRTM interferometric data processing as well as from the analysis of the Cartwheel concept a list of mission requirements has been set up. The most demanding one is the autonomous configuration flight of a tight x-band constellation, where the satellites fly as close as up to 30 m with a dead-band of +/- 10 m. The guidance, navigation and control considerations come to the conclusion that such a mission is feasible

Schiffsdetektion in Interferometrie-Radardaten

Die Erfindung betrifft ein Verfahren und eine Vorrichtung zur Ermittlung je einer Position und einer Fahrtrichtung für ein oder mehrere im Wasser fahrende Wasserfahrzeuge aus Interferometrie-Radardaten, in denen die Wasserfahrzeuge und die Wasserfahrzeuge umgebende Wasseroberflächen abgebildet sind. Das vorgeschlagene Verfahren umfassend folgende Schritte: Bereitstellen (101) der Radardaten als 2D-Interferogrammdaten INT1(x, y); Segmentieren (104) der 2D Interferogrammdaten INT1(x, y) zur Ermittlung von segmentierten 2D-Interferogrammdaten INT2(x, y), wobei die segmentierten 2D-Interferogrammdaten INT2(x, y) nur 2D-Datenbereiche Bn der 2DInterferogrammdaten INT1(x, y) umfassen, die jeweils ein zusammenhängendes Streifenmuster, sogenanntes Fringe-Pattern, wiedergeben, mit n = 1, 2, ...; Ermitteln (106) einer Kontur für jeden der 2D-Datenbereiche Bn; Ermitteln (108) eines Schwerpunktes für jeden der 2D-Datenbereiche Bn, wobei weiterhin für jeden der 2D-Datenbereiche Bn die Position eines Wasserfahrzeugs auf Basis des Schwerpunktes ermittelt wird; Ermitteln (109) einer geometrischen Ausrichtung des in den Daten jedes 2D-Datenbereichs Bi abgebildeten Streifenmusters relativ zu einer Bildachse der 2D-Interferogrammdaten INT1(x, y); und für jeden der 2D-Datenbereiche Bn abhängig von der ermittelten Ausrichtung des Streifenmusters, und der ermittelten Form der Kontur des jeweiligen 2D-Datenbereichs Bn Ermitteln (110) der Fahrtrichtung des jeweiligen Wasserfahrzeugs

First Results Of TanDEM-X Along-Track Interferometry

The interferometric imaging modes of the TanDEM-X (TerraSAR-X add-on for Digital Elevation Measurements) satellite formation offer improved along-track interferometric capabilities e.g. through longer and multiple baselines. While the first provide high sensitivities to ground motions, the latter enable to resolve ambiguities. The extraction of motion information from TanDEM-X data by means of ATI is challenging due to the hybrid nature of the interferometric baseline. This is generally composed of an across-track (XTI) and an along-track interferometric (ATI) component BATI and requires a separation of the respective interferometric phase contributions

Modeling and Analysis of Self-Adaptive Systems Based on Graph Transformation

Software systems nowadays require continuous operation despite changes both in user needs and in their operational environments. Self-adaptive systems are typically instrumented with tools to autonomously perform adaptation to these changes while maintaining some desired properties. In this paper we model and analyze self-adaptive systems by means of typed, attributed graph grammars. The interplay of different grammars representing the application and the adaptation logic is realized by an adaption manager. Within this formal framework we define consistency and operational properties that are maintained despite adaptations and we give static conditions for their verification. The overall approach is supported by the AGG tool that offers the features for modeling, simulating, and analyzing graph transformation systems. A case study modeling a business process that adapts to changing environment conditions is used to demonstrate and validate the formal framework

Formal Analysis and Verication of Self-Healing Systems: Long Version

Self-healing (SH-)systems are characterized by an automatic discovery of system failures, and techniques how to recover from these situations. In this paper, we show how to model SH-systems using algebraic graph transformation. These systems are modeled as typed graph grammars enriched with graph constraints. This allows not only for formal modeling of consistency and operational properties, but also for their analysis and verification using the tool AGG. We present sufficient static conditions for self-healing properties, deadlock-freeness and liveness of SH-systems. The overall approach is applied to a traffic light system case study, where the corresponding properties are verified

Automatic Pole Detection in Aerial and Satellite Imagery for precise Image Registration with SAR Ground Control Points

The world-wide absolute geographic positioning accuracy of optical Satellite imagery is mostly about a few pixels of the image resolution. So for example WorldView-3 images have a CE90 of about 4 m. Also the direct georeferencing without ground control information of aerial imagery is in the same range of one to a few metres. These inaccuracies originate predominantly in uncertainties of angular measurements for the sensor attitude. An angular error of only one arc-second at a satellite 750 km above ground results in an absolute error on ground of 3.6 metres. On the other hand radar satellites like TerraSAR-X or TanDEM-X do not measure angles but signal runtimes. So if we identify the same point in an optical image and in a radar image we can solve the problem of inaccurate angle-measurements in the optical sensor models and are able to georeference optical images world wide absolute to below one pixel. In this paper we present a method for identification of point-objects which can be detected in both types of images: the footpoints of poles. If such a footpoint of a pole can be detected simultaneously in both types of images the geoposition of the optical image can be corrected to the accuracy of the point-measurement in the radar image. To achieve a high accuracy also a nearly perfect correction of all errors in signal propagation times of the radar signals has to be conducted. In this paper we describe how the footpoints of poles will be extracted in optical spaceborne or air-borne imagery and how these footpoints are correlated to the potential footpoints of poles detected in the radar imagery

The TerraSAR-X Traffic Monitoring System

The presentation gives an overview about the TerraSAR-X traffic monitoring project at DLR. The tasks of the "traffic processor" and the overall ground segment are described. Results from first airborne campaigns are presented including the monitoring of a traffic jam on a motorway near Munich / Germany. Furthermore radar cross sections of passenger cars are presented

Generation of Reference Vehicle Trajectories in real-world Situations using Aerial Imagery from a Helicopter

Highly accurate reference vehicle trajectories are required in the automotive domain e.\,g. for testing mobile GNSS devices. Common methods used to determine reference trajectories are based on the same working principles as the device under test and suffer from the same underlying error problems. In this paper, a new method to generate reference vehicle trajectories in real-world situations using simultaneously acquired aerial imagery from a helicopter is presented. This method requires independent height information which is coming from a LIDAR DTM and the relative height of the GNSS device. The reference trajectory is then derived by forward intersection of the vehicle position in each image with the DTM. In this context, the influence of all relevant error sources were analysed, like the error from the LIDAR DTM, from the sensor latency, from the semi-automatic matching of the vehicle marking, and from the image orientation. Results show that the presented method provides a tool for creating reference trajectories that is independent of the GNSS reception at the vehicle. Moreover, it can be demonstrated that the proposed method reaches an accuracy level of 10 cm, which is defined as necessary for certification and validation of automotive GNSS devices