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:: [Wednesday, June 8, 1994]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: [Poster Session 2-A]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: AN INTEGRATED PACKAGE FOR THE PROCESSING AND ANALYSIS OF SAR IMAGERY, AND THE FUSION OF RADAR AND PASSIVE MICROWAVE DATA Bernard Armour, Jim Ehrismann, Frank Chen, Gord Bowman, Elena Berestesky, David Adams, Andrew Emmons [...] Julius Princz [...] René O. Ramseier [...]

Document type:: Monograph

Structure type:: Chapter

et de images à trame nérique les et helles | de la aplus à aintenu ] afin ohie de oondant stéréo i, . dont ints de Sion à ı mode nérique ontróle ictions 1er les On a le par 'atique zone à acions ration A. AN INTEGRATED PACKAGE FOR THE PROCESSING AND ANALYSIS OF SAR IMAGERY, AND THE FUSION OF RADAR AND PASSIVE MICROWAVE DATA Bernard Armour, Jim Ehrismann, Frank Chen, Gord Bowman Elena Berestesky, David Adams, Andrew Emmons Atlantis Scientific Systems Group Inc., 1827 Woodward Drive, Ottawa, Ontario, Canada, K2C 0P9 Julius Princz Canada Centre for Remote Sensing, Special Technology Division, National Resources Canada 588 Booth Street, Ottawa Ontario, Canada, K1A 0E9 René O. Ramseier Atmospheric Environment Service, Ice Operations and Research Group, P.O. Boz 100, 195 Westbrook Road, Stittsville, Ontario, Canada, K2S 1A2 ABSTRACT FarthView SAR Application Package or EV-SAR is an integrated software package designed for the processing, analysis, and fusion of Synthetic Aperture Radar (SAR) data. The development to date has resulted in software that performs many functions with SAR imagery ranging from image quality measurement analysis to fusion of SAR imagery with other data sets. These include SAR image radiometric and geometric corrections, SAR image enhancement filters, SAR image display and measurement techniques, polarimetric SAR functions, and multisensor data fusion. New users of SAR imagery have found the package to be useful as a tutorial on understanding SAR remote sensing and as an introduction to SAR processing and data manipulation. Expert users have found EV-SAR to be a useful tool for working with SAR data. KEY WORDS: Image Processing, Synthetic Aperture Radar, Geocoding, Data Fusion, Remote Sensing 1. INTRODUCTION This paper describes the commands developed as part of the EarthView Synthetic Aperture Radar package or EV-SAR. EarthView is a general image process- ing package for PC 386/486/Pentium computers. It is used in many applications where variable image size, large dynamic range, and multiple data types (inte- ger, floating point, complex) are required. EV-SAR is an application package built using existing commands in the EarthView command library plus a set of new commands functions written specifically for processing Synthetic Aperture Radar (SAR) imagery. Since the SAR sensor has a point target response which extends in two dimensions with a predictable sidelobe struc- ture, and since SAR is susceptible to multiplicative noise as well as the usual additive noise, special pro- cessing tools taking into account these characteristics will aid interpretation. Several of these functions have been implemented in EV-SAR and are described in the following. The paper is organized as follows. In Section 2, SAR image corrections are described, followed by SAR im- age enhancement techniques in Section 3. In Section 4, SAR image display and measurement functions are de- scribed. In Section 5, the polarimetric SAR functions are introduced. In Section 6, some multisensor data fusion functions are described, followed by the conclu- sions in Section 7. 2. SAR IMAGE CORRECTIONS 2.1 Antenna Pattern Correction The variations in radar cross-section pattern, dis- tance and incidence angle along a range line may cause severely uneven power distribution in the SAR image. The EV-SAR antenna pattern correction functions are designed to remove this effect. The antenna pattern is estimated by averaging lines of constant azimuth to extract a mean range profile. The extraction of the antenna pattern can be done either by low pass filtering the profile or by fitting the profile to a polynomial curve. Both operations use standard EarthView commands. This approach is based on the fundamental assumption that the scattering properties of the area of interest are stable, or the variation is well characterized so that the extraction of the profile is of practical significance. The effectiveness of this algorithm is demonstrated in the example of Figure 1. 2.2 Geometric Transformations When studying SAR imagery, it is in many instances necessary to transform a SAR image in slant range to ground range, and vice versa. EarthView employs a collection of functions for such geometric transforma- tions for both airborne and spaceborne SAR imagery, assuming flat and spherical Earth models, respectively. In the airborne case, input parameters are altitude, stand off distance and range sample spacing; in the spaceborne case, input parameters are altitude, sur- 299

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