Canada's Fast Operational Ers-1 Sar Precision Processing And Geocoding System

Kavarmgh, P.F.; Wong, L.; Guindon, B.; Princz, G.J.

doi:10.1109/igarss.1989.576549

Cited by 7 publications

(3 citation statements)

References 4 publications

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“…The SAR geocoding subsystem was built on GICS architecture (Kavanagh et al, 1989). To meet the requirements of oceanographic and Arctic applications, two additional cartographic projections (Polar Stereographic and Lambert Conformal) have been included.…”

Section: Synthetic Aperture Radar (Sar) Image Correctionmentioning

confidence: 99%

Information technology for handling earth observation data

Cihlar¹,

Fisher²,

Guindon³

1994

Remote Sensing Reviews

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In Canada, remote sensing activities have traditionally been oriented to resource management applications. Therefore, information technology developed prior to the late 1980s emphasized effective use of earth observation data for natural resource management. More recently, the increasing interest in regional and global environmental issues has led to a growing demand for accurate, timely, and objective information on the environment. Space observations will be a key data source for this purpose, and much of the technology and applications development carried out for resource management will also be of value for environmental change monitoring and assessment. Because of the special characteristics of satellite data (high volume, multiple sources, complex preprocessing requirements), these data will also strongly influence the characteristics of the information systems developed to deal with environmental information. As a national agency responsible for the reception and archiving of satellite data and for applied research in environmental applications, Canada Centre for Remote Sensing has been actively involved in the development of technology and systems required by the users of satellite data. The purpose of this paper is to outline the philosophy and basic approach to the development of earth observation data handling systems in Canada, to review systems and technology developed so far, and to discuss requirements for future developments.

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Section: Synthetic Aperture Radar (Sar) Image Correctionmentioning

confidence: 99%

Information technology for handling earth observation data

Cihlar¹,

Fisher²,

Guindon³

1994

Remote Sensing Reviews

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“…Full-scene ERS-1 imagery of this form will be available either in fine resolution (approximately 35 m resolution, 12.5 m pixel spacing) or coarse resolution (100 m resolution, 50 m pixel spacing) from the Canadian SARDPF (Kavanagh et al, 1989).…”

Section: Simulation-based Sar Geocoding Backgroundmentioning

confidence: 99%

“…From the ground processing point of view, ERS-1 will provide a valuable opportunity to test systems for routine SAR product generation. Canada has built and will operate a sophisticated SAR data processing facility (SARDPF) for this purpose (Sack et al, 1989), including a component to produce a range of geocoded image products (Kavanagh et al, 1989). This ERS-1 GICS (Geocoding Image Correction System) builds upon the extensive Canadian experience in operational optical data geocoding initiated with the development ofthe Digital Image Correction System, DICS (Guertin et al, 1979), for Landsat multi-spectral scanner (MSS) data and carried on by the Multi-Observational Satellite Image Correction System (MOSAICS) (Friedel and Fisher, 1987), which incorporates corrections for the Landsat and SPOT sensors.…”

Section: Introductionmentioning

confidence: 99%

Analytic Formulation of Spaceborne SAR Image Geocoding and “Value-Added” Product Generation Procedures using Digital Elevation Data

Guindon

Adair

1992

Canadian Journal of Remote Sensing

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RESUMEEn raison des caracteristiques relatives ala geometrte de oisee des radars aantenne syntbetique (RAAS) montes abard des satellites SEASAT, ERS-1, jERS-1 et RADARSAT, les images acquises par ces capteurs presenteront une sensibilite radiometrique et geometrique a la topograpbie locale nettement superieure aux images optiques correspondantes obtenues apartir des satellites Landsat et SPOT II est absolument essentiel, par consequent, que des modeles numeriques d'eleuation fassent partie integrante de toute analyse des capacites des radars. Get article presente uneformulation analytique unifiee d'une methode d'analyse par simulation des RAAS -incluant le geocodage des donnees et la generation de produits avaleur ajoutee-idont le but est de faciliter l'interpretation de la scene. Les auteurs proposent le concept de facteur d 'ecbelle topograpbique pour quantifier le taux moyen de distorsion geometrique dans une scene RAAS, suppose que l'on connaisse la uariabilite de l'eleuation d'un site. Un prototype de progicielfonde sur ces algoritbmes a ete mis au point apeu de frais al'aide d'un ordinateurpersonnel et a ete utilise pour geocoder deux scenes obtenues apartir du radar aantenne syntbetique monte a bord du satellite SEASAT, qui presentent des distorsions dues au terrain al'ecbelle comprise entre 1 et 1,5 km. Des precisions de l'ordre de 75 a150 mont ete obtenues apartir de modeles numeriques d'eleuation al'ecbelle du 1 : 250000. SUMMARYBecause ofthe viewing geometry characteristics ofspaceborne SARs carried by SEASAT, ERS-1, jERS-1, and RADARSAT, imagesfrom these sensors will exhibit Significantly greater radiometric and geometric sensitivity to local topographic relief than corresponding optical imagesfrom Landsat and SPOT sensors. It is imperative, therefore, that digital elevation models be an integralpart ofany SAR analysis capability. This paperpresents a unified analytic formulation ofa simulation-based approach to spacebome SAR analysis, including image geocoding and "value-added" product generation to aid in subsequent scene interpretation. The concept ofa topographic-scaling factor is proposed to quantify the average level of geometric distortion in a SAR scene given a knowledge ofthe elevation variability over a site. A prototype software package based on these algorithms has been implemented on a low-cost personal computer platform and used to geocode two example SEASAT SAR scenes that exhibit terrain-induced distortions on the scale of1 km to 1.5 km. Final geocoding accuracies of 75 m to 150 m have been achieved using a 1:250 OOO-scale DBMs.

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User Access And Production Control Of Canada's Operational sar Data Processing Facility

Evans¹,

Denyer²

12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,

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Canada's Fast Operational Ers-1 Sar Precision Processing And Geocoding System

Cited by 7 publications

References 4 publications

Information technology for handling earth observation data

Information technology for handling earth observation data

Analytic Formulation of Spaceborne SAR Image Geocoding and “Value-Added” Product Generation Procedures using Digital Elevation Data

User Access And Production Control Of Canada's Operational sar Data Processing Facility

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