R. Carande, B. Charny · 2005
The Alaska SAR processor was designed to process over 200 100 km x 100 km (Seasat like) frames per day from the raw SAR data, at a ground resolution of 30 m x 30 m from ERS-1, J-ERS-1, and Radarsat. The near real time processor is a set of custom hardware modules operating in a pipelined architecture, controlled by a general purpose computer. Input to the processor is provided from a high density digital cassette recording of the raw data stream as received by the ground station. A two pass processing is performed. During the first pass clutter-lock and auto-focus measurements are made. The second pass uses the results to accomplish final image formation which is recorded on a high density digital cassette. The processing algorithm uses fast correlation techniques for range and azimuth compression. Radiometric compensation, interpolation and deskewing is also performed by the processor. The standard product of the ASP is a high resolution four-look image, with a low resolution (100 to 200 m) many look image provided simultaneously.
Cited by 3
R. G. Piereson, M. Jin · NASA Technical Reports Server (NASA) · 1986
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Maarseveen, R.A. van, Moll, B. · TNO Repository · 2001
We created a prototype for a flexible last multithreaded high precision PC satellite SAR processor, which can operate on a network of low cost PC platforms. The network approach provides a scalable solution to divide the workload over multiple computers, thereby reducing the computation time. The processing software is set up in such a way that it can handle data from various satellite systems (e.g. ERS/JERS/RADARSAf). Its primary purpose is to process any satellite raw SAR data into SAR slant- or ground-range image products. By applying clutter lock and auto locus techniques on the raw data, no satellite orbit data is needed, to derive range depended estimates for both the Doppler centroid frequency and the Doppler frequency rate.
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R. Schotter · 1984
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Jesus Sanz-Marcos, Jordi J. Mallorquí, A. Broquetas · 2004
Bistatic radar systems will pay a great role in the coming decade since a large number of radar missions are being foreseen. Using existing transmitters, formations of small passive receivers will enhance our capability to gather backscatter information from Earth. A bistatic SAR system operates with separated transmitting and receiving antenna and both antennas can follow independent trajectories. In this paper, the recently developed imaging algorithm for the case where the transmitting antenna follows a rectilinear trajectory while the receiver remains in a fixed position and orientation will be evaluated. This new imaging algorithm is based on a projecting the bistatic geometry onto the chirp scaling algorithm which results on a scaling factor in the azimuth compression function. This scaling factor is derived from the bistatic configurations and assumes a flat topography. The main purpose of this paper is to determine the accuracy of the algorithm when used with real case simulated scenarios such as the airborne case where the transmitter is onboard an airplane while the receiver will be installed in the top of a high tower
Cited by 19
G. Franceschetti, Antonino Mazzeo, Nicola Mazzocca et al. · IEEE Transactions on Aerospace and Electronic Systems · 1991
A parallel architecture especially designed for a synthetic-aperture-radar (SAR) processing algorithm based on an appropriate two-dimensional fast Fourier transform (FFT) code is presented. The algorithm is briefly summarized, and the FFT code is given for the one-dimensional case, although all results can be immediately generalized to the double FFT. The computer architecture, which consists of a toroidal net with transputers on each node, is described. Parametric expressions for the computational time of the net versus the number of nodes are derived. The architecture allows drastic reduction of the processing time, preserving elaboration accuracy and flexibility.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cited by 26
Niluefen Cotuk, Christoph H. Gierull · Defense Technical Information Center (DTIC) · 2004
The Defence R&D Canada - Ottawa (DRDC Ottawa) is participating in a joint experiment with the Air Force Research Laboratory (AFRL) in Rome, New York under TTRDP. The objective of this study is to understand bistatic radar and bistatic clutter statistics, and to investigate processing methods with the ultimate aim of detecting airborne targets. As part of this study SAR processing techniques are developed for bistatic SAR data. The data set used to test the processor in this study were acquired in Rome, NY during the trial dated 28 January 2002. The data are examined for saturation, integrity, spectral properties and phase stability. The bistatic SAR processor is coded in Matlab using timedomain azimuth compression and bistatic SAR images are produced.
Cited by 1
Benjamin Bräutigam · elib (German Aerospace Center) · 2010
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Tai-Yuan Cheng, Edward T.-H. Chu, K. Leung · 1994
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Karlus Alexander Câmara de Macedo · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)
This work presents the theory, methodology and algorithms used for the development and implementation of a SAR (Synthetic Aperture Radar) Geocoding Processor to correct geometric distortions inherent in the SAR image data formation process. The development of the SAR Geocoding Processor was carried out based on the range-Doppler approach of the SAR image formation together with the geodetic and cartographic foundations to describe the terrain model. The developed SAR Geocoding Processor was implemented in software. Different SAR images (from airborne and spaceborne SAR systems) were geocoded to test the effectiveness of the processor in geocoding and evaluate the accuracy of the geocoded SAR images through ground control points. It was also performed a geocoding and classification, to detect natural and man-made features, of an image obtained during the test phase of the SIVAM Synthetic Aperture Radar (SAR). The classification method was developed in this work.
Cited by 0Open access
Andrew Knight, Michael Inggs · 2002
This work describes a synthetic-aperture radar (SAR) data processor based on a pipeline of transputers. The system is comprised of standard off-the-shelf transputer cards, a custom built transputer card with 64 MB RAM, and software written in OC-CAM. The SAR processor was designed as a general purpose processor for spaceborne and airborne SAR imagery.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Peter George · NASA STI Repository (National Aeronautics and Space Administration) · 1986
MacDonald Dettwiler & Associates has been involved with the Canadian Radarsat (RSAT) project for a number of years. This included Phase A definition studies and for the past two years, Phase B ground station design and processor prototyping efforts. The current baseline design for the SAR processing facility (SARDPF) is described along with its requirements and functional decomposition. This forms the context for then discussing the prototype SAR processor and extensions necessary to meet current ground station processing requirements.
Cited by 0Open access
J. Moreira · elib (German Aerospace Center) · 1995
Zu 1. Ein einfacher SAR-Prozessor fuer ERS-1-Rohdaten-Verarbeitung wird praesentiert. Die Anwendungsmoeglichkeiten werden vorgestellt. Zu 2. Der SAR-Prozessor der DLR zur Verarbeitung der Rohdaten des E-SAR-Systems der DLR, E-SAR, wird vorgestellt und beschrieben.
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F. P. P. Devries · 1990
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Buedenbender, H., Deutsche Forschungsanstalt fuer Luft- und Raumfahrt e.V. (DLR), Wessling (Germany). Inst. fuer Hochfrequenztechnik · OpenGrey (Institut de l'Information Scientifique et Technique) · 1993
Die zweidimensionale Verarbeitung vom Rohdaten eines Radars mit synthetischer Apertur wird diskutiert und der Aufbau eines solchen Prozessors dargestellt. Dabei wird insbesondere die Segmentierung der Rohdaten, die Basisfilterung, die Fokussierung sowie die zweidimensionale Erzeugung von Mehrsichtenbildern beschrieben. Dieser Prozessor wurde auf die Erfordernisse von flugzeuggetragenen SAR-Systemen zugeschnitten. Daher wird im weiteren auch auf die Integraation eines in der DLR entwickelten Verfahrens zur Extraktion und Kompensation von Bewegungsfehlern eingegangen. (orig.)
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Salvatore Savastano, Mark E. Pattle, Albert García-Mondéjar et al. · 2024
Coastlines are continuously transforming, and satellite-based remote sensing represents a cost-effective observation method able to accurately map and monitor these changes. While optical technology is limited by factors like darkness, clouds, and rain, Synthetic Aperture Radar (SAR) remains unaffected, offering the advantage of potentially providing more frequent updates for shoreline mapping. This study presents an innovative automatic processor to extract shorelines (SLs) from SAR data to track coastline variations over time. It is applied across various sites, showing the effects on the SL positions of the incidence angle between the sensor’s line of sight and the scene topography. The research findings consistently show that SAR-derived SLs align with positions above the high-water mark across all the studied sites. Depending on the topography, the SLs acquired in ascending (ASC) and descending (DESC) tracks show overlapping or mismatch. This paper presents two examples of such occurrences. This offers coastal scientists and stakeholders a unique tool for complementing the analysis conducted by optical sensors, which is especially relevant in regions of the Earth that are constantly affected by cloud cover.
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D. Cuddy, Ming-Je Chen, T. J. Bicknell · 2002
Examines the synthetic aperture radar (SAR) data processing algorithms used by the Alaska SAR Facility (ASF) for Japan's first Earth Resources Satellite (JERS-1) SAR data. The algorithms are somewhat similar to those used for the European Space Agency's (ESA) first Remote-Sensing Satellite (ERS-1). The Alaska SAR Processor (ASP) processor for ERS-1 was upgraded in both the hardware and software to handle JERS-1 input data. To minimize tape interface time at every image region for raw data input, the JERS-1 preprocessing and main processing are implemented in a "two pass" operation. The important pre-processing highlights two features: (1) signal measurement and (2) Doppler measurement, which are performed by a "two dimensional FFT" (2DFFT) algorithm. The custom pipeline architecture performs the main processing with controls similar to those used with ERS-1 except the control registers are set up for L-band rather than for C-band. Finally, system performance of the processor for the SAR image processing of JERS-1 data is reviewed.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cited by 4
A. Popella, B. Schuttler, J. Siewerth et al. · 2005
This paper describes DLR’s prototype implementation of the well known Range-Doppler algorithm onto a distributed hardware system, consisting of a UNIX-workstation as server, an array processor and a large semiconductor memory. Bearing in mind the problems in implementing software on distributed hardware and furthermore, the ideas of modem software engineering in terms of software reusability, maintainability etc., Ada was chosen as the implementation language. Based upon simulation results (which are also presented), the kemel SAR processor layout has been fixed in view of the generation of a three-look ERS-1 image product. To prove the processor functions and to evaluate the processor quality, a SEASAT scene was used as a first, real test example. The processor prototype, written in Ada, and the achieved results are presented.
Cited by 1
Kelvin Wagner, Demetri Psaltis, M. Haney · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 1984
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Cited by 0Open access
Oraschewski, Falk · Zenodo (CERN European Organization for Nuclear Research) · 2024
pRocESsor was developed to handle profiling data acquired with a mobilized Autonomous phase-sensitive Radio Echo Sounder (ApRES), in the following referred to as mobile pRES. Currently, the main application of pRocESsor is to improve the imaging of englacial stratigraphy recorded with a mobile pRES using Layer-optimized SAR processing. The code was developed in preparation for: Oraschewski et al. (2024) Layer-optimized SAR processing with a mobile phase-sensitive radar: a proof of concept for detecting the deep englacial stratigraphy of Colle Gnifetti, Switzerland/Italy. The Cryosphere. The processing approach is detailed in this publication. Author: Falk Oraschewski University of Tübingen 04.07.20247
Cited by 1Open access