Systems for data processing, anaylsis and representation

Allam, Mosaad; Plunkett, Gordon

Bibliographic data

Monograph

Persistent identifier:: 1067490280

Title:: Systems for data processing, anaylsis and representation

Sub title:: ISPRS Commission II Symposium : June 6 - 10, Ottawa, Canada

Scope:: 1 Online-Ressource (XX, 530 Seiten)

Year of publication:: 1994

Place of publication:: Ottawa

Publisher of the original:: The Surveys, Mapping and Remote Sensing, Natural Resources Canada

Identifier (digital):: 1067490280

Illustration:: Illustrationen

Signature of the source:: ZS 312(30,2)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Allam, Mosaad; Plunkett, Gordon

Corporations:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Adapter:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Founder of work:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Other corporate:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: [Thursday, June 9, 1994]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: [Session K-1 WG II/4 - Systems for the Processing of Radar Data - Part B]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: PROCESSING ERS-1 SAR AND JERS-1 SAR FOR MAPPING Ian Dowman and Mark Upton

Document type:: Monograph

Structure type:: Chapter

ormation révu pour nthétique leviendra créer des plines, et nnement xture, la sification nentation férencier ro-ondes ; densités - à partir qu’il sera IX ont été t dans un de traiter eront pas raiter les rariations t rapport ace. Ces bre. Les nique, de d’image 1esure de a ensuite produits PROCESSING ERS-1 SAR AND JERS-1 SAR FOR MAPPING Ian Dowman and Mark Upton University College London Gower Street London WC1E 6BT United Kingdom Tel: (44) 71 380 7226 Fax: (44) 71 380 0453 ABSTRACT Synthetic Aperture Radar data from ERS-1 has been proved to be very stable and well calibrated and is of considerable interest for a number of geoscience applications. The production of JERS-1 data has been subject to a number of problems but is nevertheless of considerable interest. University College London (UCL) has used data from both sensors for geocoding and for the determination of heights using stereomatching. This paper reports on the characteristics of the data from both sensors and the processing required for geocoding using software developed at UCL and by a consortium in which UCL was involved. The derivation of the parameters needed for geocoding depended very much on the processor used for creating the images and was also dependent on the accuracy of the orbit data. The determination of digital elevation models from both ERS-1 and JERS-1 also requires orbit data but depended on the radiometric characteristics of the data. The software derived for filtering and stereomatching the data is described and the results given. The paper describes the problems encountered and the steps which have to be taken to achieve geocoding and stereomatching. Keywords: SAR, ERS-1, JERS-1, geocoding, stereoscopy, speckle reduction filters, Digital Elevation Models. I. INTRODUCTION ERS-1 data has been available for some time now and the data has been used in the area of topographic mapping for geocoding and work has been done on the extraction of features. Results were presented at the first and second ERS-1 conferences, for example Dowman et al [1993b], Dowman et al [1994], Winter et al, [1993], Renouard and Perlant, [1994]. Work done at University College London (UCL) will be summarised and particularly the work on geocoding and stereomatching will be discussed. The JERS-1 satellite with the L band SAR and an optical sensor (OPS) giving along track stereoscopic coverage adds important additional data to that already available for mapping. The SAR provides data at a different wave length and incidence angle to ERS-1 The data from JERS should therefore complement existing data from ERS-1 SAR and SPOT by providing SAR data which will highlight 437 different surface features with the L band frequency, and allow two incidence angles with a potential for stereoscopic modelling for height derivation. The paper starts with a report on geocoding of ERS-1 and JERS-1 and then gives a brief brief description of the method used for determination of height. The use of speckle reduction filters to improve the performance of stereo matching is then investigated. Some results are given which give an indication of the potential of the method and finally conclusions are drawn and the remaining problems are discussed. 2. PRINCIPLES OF GEOCODING SAR DATA The principle of the system developed by the consortium in the UK (Dowman et al, 1993a ) is the transformation of a SAR image in a co-ordinate system reflecting time and range data into a standard map projection. An image processed to zero Doppler is assumed. The transformation is carried out by

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