123 research outputs found
Multi-mode SAR Interferometry Processing Research and Implementation
Current operation mode of SAR can be roughly divided into two types: strip-map mode and burst mode. The most conventional mode is strip-map mode, in which the swath width is quite limited. The other type is burst mode, which is an active option to overcome this limitation by cyclically scanning several subswaths, known as ScanSAR. In addition, Envisat ASAR has another type of burst mode, that is, Alternating Polarization mode. ALOS PALSAR and Radarsat-1 also have their own ScanSAR operation modes, but each of them is distinctive from the others in implementation. Numerous theoretical results and applications of interferometry using strip-map data have been published before. Interferometry with burst mode data, however, is much rarer and different from the case of the traditional strip-map mode from raw data focusing to interferogram generation because of its burst nature of data acquisition pattern. In our study, we put our emphasis on each kind of burst mode interferometry and mixed mode interferometry. Until now, our successful research work includes Envisat ASAR WS-WS, IM-WS and ALOS PALSAR WB1-WB1 Interferometry. Other development activities including Envisat AP-AP and Radarsat-1 SNA-SNA interferometry are still on going. In the following paper, we will present our results and give an overview of multi-mode SAR. interferometry for the present spaceborne SAR sensors.Engineering, Electrical & ElectronicPhysics, AppliedEICPCI-S(ISTP)
Burst mode to strip-map mode SAR interferometry of ALOS PALSAR
A complete processing flow is proposed to implement burst mode to strip-map mode interferometry for ALOS PALSAR data. The processing flow is applied to an interferometric pair comprised of FBD (High Resolution mode [Dual polarization], belonging to strip-map mode) and WB1 (Wide observation mode, belonging to burst mode) mode of PALSAR. Interferometric products including differential interferometric phase and DEM are generated. The evaluation of these products shows satisfactory precision.Geosciences, MultidisciplinaryRemote SensingCPCI-S(ISTP)
Monitoring Land Surface Deformation with Satellite ScanSAR Images: Case Studies on Large Earthquakes in China
This chapter presents a new application of scanning interferometric synthetic aperture radar (ScanSAR) interferometry in monitoring land surface deformation caused by large earthquakes. To make better use of the ScanSAR data and obtain a wider deformation observation, this research studied and analyzed certain key elements of ScanSAR interferometry, including coherence, co-registering, methods of removing orbit errors, correction of atmosphere effects, and geoid undulation. The wide swath mode (WSM) is also known as the ScanSAR mode by which synthetic aperture time is shared by adjacent sub-swaths and azimuth resolution that is traded off for a wider coverage. So, it is possible to monitor a larger area of earthquake deformation. In this study, we obtained ScanSAR and Image Mode (IM) data and analyzed coherence, co-registering, methods of removing orbit errors, correction of atmosphere effects, and geoid undulation to monitor land surface deformation caused by large earthquakes in the 405Â ĂÂ 405Â km field of the Wenchuan earthquake and Yutian earthquake, respectively, in China. The results obtained agree well with that of the investigations of the crustal motion in the study areas
Processing of Sliding Spotlight and TOPS SAR Data Using Baseband Azimuth Scaling
This paper presents an efficient phase preserving processor for the focusing of data acquired in sliding spotlight and TOPS (Terrain Observation by Progressive Scans) imaging modes. They share in common a linear variation of the Doppler centroid along the azimuth dimension, which is due to a steering of the antenna (either mechanically or electronically) throughout the data take. Existing approaches for the azimuth processing can become inefficient due to the additional processing to overcome the folding in the focused domain. In this paper a new azimuth scaling approach is presented to perform the azimuth processing, whose kernel is exactly the same for sliding spotlight and TOPS modes. The possibility to use the proposed approach to process ScanSAR data, as well as a discussion concerning staring spotlight, are also included. Simulations with point-targets and real data acquired by TerraSAR-X in sliding spotlight and TOPS modes are used to validate the developed algorithm
A Network-Based Enhanced Spectral Diversity Approach for TOPS Time-Series Analysis
For multitemporal analysis of synthetic aperture radar (SAR) images acquired with a terrain observation by progressive scan (TOPS) mode, all acquisitions from a given satellite track must be coregistered to a reference coordinate system with accuracies better than 0.001 of a pixel (assuming full SAR resolution) in the azimuth direction. Such a high accuracy can be achieved through geometric coregistration, using precise satellite orbits and a digital elevation model, followed by a refinement step using a time-series analysis of coregistration errors. These errors represent the misregistration between all TOPS acquisitions relative to the reference coordinate system. We develop a workflow to estimate the time series of azimuth misregistration using a network-based enhanced spectral diversity (NESD) approach, in order to reduce the impact of temporal decorrelation on coregistration. Example time series of misregistration inferred for five tracks of Sentinel-1 TOPS acquisitions indicates a maximum relative azimuth misregistration of less than 0.01 of the full azimuth resolution between the TOPS acquisitions in the studied areas. Standard deviation of the estimated misregistration time series for different stacks varies from 1.1e-3 to 2e-3 of the azimuth resolution, equivalent to 1.6-2.8 cm orbital uncertainty in the azimuth direction. These values fall within the 1-sigma orbital uncertainty of the Sentinel-1 orbits and imply that orbital uncertainty is most likely the main source of the constant azimuth misregistration between different TOPS acquisitions. We propagate the uncertainty of individual misregistration estimated with ESD to the misregistration time series estimated with NESD and investigate the different challenges for operationalizing NESD
Sentinel-1 Imaging Performance Verification with TerraSAR-X
This paper presents dedicated analyses of TerraSAR-X data with respect to the Sentinel-1 TOPS imaging mode.
First, the analysis of Doppler centroid behaviour for high azimuth steering angles, as occurs in TOPS imaging, is
investigated followed by the analysis and compensation of residual scalloping. Finally, the Flexible-Dynamic
BAQ (FD-BAQ) raw data compression algorithm is investigated for the first time with real TerraSAR-X data
and its performance is compared to state-of-the-art BAQ algorithms. The presented analyses demonstrate the
improvements of the new TOPS imaging mode as well as the new FD-BAQ data compression algorithm for
SAR image quality in general and in particular for Sentinel-1
Advanced Synthetic Aperture Radar Based on Digital Beamforming and Waveform Diversity
This paper introduces innovative SAR system
concepts for the acquisition of high resolution radar images with
wide swath coverage from spaceborne platforms. The new concepts
rely on the combination of advanced multi-channel SAR front-end
architectures with novel operational modes. The architectures
differ regarding their implementation complexity and it is shown
that even a low number of channels is already well suited to
significantly improve the imaging performance and to overcome
fundamental limitations inherent to classical SAR systems. The
more advanced concepts employ a multidimensional encoding of
the transmitted waveforms to further improve the performance
and to enable a new class of hybrid SAR imaging modes that are
well suited to satisfy hitherto incompatible user requirements for
frequent monitoring and detailed mapping. Implementation
specific issues will be discussed and examples demonstrate the
potential of the new techniques for different remote sensing
applications
The Tandem-L Mission Proposal: Monitoring Earthâs Dynamics with High Resolution SAR Interferometry
Tandem-L is a proposal for an innovative
interferometric and polarimetric radar mission that enables the
systematic monitoring of dynamic processes on the Earth
surface. Important mission objectives are global forest height
and biomass inventories, large scale measurements of
millimetric displacements due to tectonic shifts, and systematic
observations of glacier movements. The innovative mission
concept and the high data acquisition capacity of Tandem-L
provide a unique data source to observe, analyze and quantify
the dynamics of a wide range of mutually interacting processes
in the bio-, litho-, hydro- and cryosphere. By this, Tandem-L
will be an essential step to advance our understanding of the
Earth system and its intricate dynamics.
This paper provides an overview of the Tandem-L mission
concept and its main application areas. Performance predictions
show the great potential of Tandem-L to acquire a wide range of
bio- and geophysical parameters with high accuracy on a global
scale. Innovative aspects like the employment of advanced
digital beamforming techniques to improve performance and
coverage are discussed in detail
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