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48 results on '"Speck, Rainer"'

1. KEPHALE Sachstandsbericht 2022

Author

Speck, Rainer, Anglberger, Harald, Heinzel, Andreas, Kempf, Timo, Villamil Lopez, Carlos, Hänsch, Ronny, Pulella, Andrea, Koban, Tamer, Werth, von der, Monika, Petersen, Lars, Vilsmeier, Roland, and Wlokas, Irenäus

Subjects
Kephale
Published
2022

2. KEPHALE 3D-Modelle

Author

Speck, Rainer, Anglberger, Harald, Hager, Manfred, Heinzel, Andreas, Profelt, Juliane, and Villamil Lopez, Carlos

Subjects
Kephale
Published
2022

4. Change Detection from Extensive Time-Series

Author

Hager, Manfred, Profelt, Juliane, Kempf, Timo, Villamil Lopez, Carlos, Anglberger, Harald, and Speck, Rainer

Subjects
DLR-RADIAN, Change Detection, Time Series, Filtering, TerraSAR-X, SAR
Published
2019

5. RADIAN Version 2.04 Benutzerhandbuch

Author

Anglberger, Harald, Kempf, Timo, Profelt, Juliane, Villamil Lopez, Carlos, and Speck, Rainer

Subjects
Radar, Bildverarbeitung, SAR
Published
2017

6. Efficient and Precise Processing for Squinted Spotlight SAR through a Modified Stolt Mapping

Author

Speck Rainer, Süß Helmut, and Vandewal Marijke

Subjects
Telecommunication, TK5101-6720, Electronics, TK7800-8360
Abstract

Processing of squinted SAR spotlight data is a challenge because of the significant range migration effects of the raw data over the coherent aperture time. Although in theory the ( )-algorithm takes care of these aspects, its digital implementation requires a time-consuming interpolation step. Moreover, the limited precision of this interpolation can introduce distortions at the edges of the final image especially for squinted geometries. A wave number domain processing using a modified Stolt mapping will be developed and analyzed to enhance the quality of the final SAR image. Additionally, the proposed algorithm has a decreased computational load compared to the original ( )-algorithm. Simulation results will validate the focusing and efficiency performances of the modified wave number domain algorithm.

Published
2007

8. Registration of very high resolution SAR and optical images

Author

Villamil Lopez, Carlos, Petersen, Lars, Speck, Rainer, and Frommholz, Dirk

Subjects
geolocation, registration, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Aufklärung und Sicherheit, optical, Institut für Hochfrequenztechnik und Radarsysteme, SAR
Abstract

The combined use of high resolution SAR and optical images is of great interest, especially in complex scenes like urban areas. This requires accurate registration of images with big radiometric and geometric differences. This paper shows the accuracy that can be achieved by taking advantage of the geolocation accuracy of current sensors, instead of using more complex feature or intensity-based methods. An issue that can arise in layover areas is identified and a solution is shown. The approach is illustrated using very high resolution SAR and optical images.

Published
2016

22. Merging of optical and SAR data

Author

Anglberger, Harald, Hager, Manfred, Speck, Rainer, and Suess, Helmut

Subjects
fusion, optical, spaceborne, simulation, sar
Published
2013

27. 2.4.4 SAR Simulation

Author

Speck, Rainer, Anglberger, Harald, and Hager, Manfred

Subjects
SAR simulation
Published
2011

34. Systemübergreifende Aspekte der Satellitentechnik

Author

Neff, Thomas, Speck, Rainer, and Süß, Helmut

Subjects
Satellitensimulator, Radar, Systemkette, SAR-Lupe, MAPSAR, SETES, Raumfahrt, Mission, SAR-Simulator, Simulation, SAR End-to-End Simulator, Missionssimulator
Published
2007

46. Flood Detection in Urban Areas Using TerraSAR-X.

Author

Mason, David C., Speck, Rainer, Devereux, Bernard, Schumann, Guy J.-P., Neal, Jeffrey C., and Bates, Paul D.

Subjects
*FLOOD forecasting, *FLOODS, *CITIES & towns, *SYNTHETIC aperture radar, *RADAR
Abstract

Flooding is a major hazard in both rural and urban areas worldwide, but it is in urban areas that the impacts are most severe. An investigation of the ability of high-resolution TerraSAR-X synthetic aperture radar (SAR) data to detect flooded regions in urban areas is described. The study uses a TerraSAR-X image of a one-in-150-year flood near Tewkesbury, U.K., in 2007, for which contemporaneous aerial photography exists for validation. The German Aerospace Center (DLR) SAR end-to-end simulator (SETES) was used in conjunction with airborne scanning laser altimetry (LiDAR) data to estimate regions of the image in which water would not be visible due to shadow or layover caused by buildings and taller vegetation. A semiautomatic algorithm for the detection of floodwater in urban areas is described, together with its validation using aerial photographs. Of the urban water pixels that are visible to TerraSAR-X, 76% were correctly detected, with an associated false positive rate of 25%. If all the urban water pixels were considered, including those in shadow and layover regions, these figures fell to 58% and 19%, respectively. The algorithm is aimed at producing urban flood extents with which to calibrate and validate urban flood inundation models, and these findings indicate that TerraSAR-X is capable of providing useful data for this purpose. [ABSTRACT FROM AUTHOR]

Published
2010
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