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TitleComparison between Range-Doppler and Rational-Function methods for SAR terrain geocoding
AuthorNedelcu, S; Brisco, B
SourceCanadian Journal of Remote Sensing 2018 p. 1-11, https://doi.org/10.1080/07038992.2018.1479635
Year2018
Alt SeriesNatural Resources Canada, Contribution Series 20170386
PublisherInforma UK Limited
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf; html; csv
Subjectsgeophysics; remote sensing; satellite imagery; radar methods; models; geometric analyses; methodology; synthetic aperture radar (SAR); geocoding; data processing; Range-Doppler model; Rational- Function model; RADARSAT-2
Illustrationsschematic representations; tables; satellite images
ProgramLand Surface Characterization, Remote Sensing Science
Released2018 12 29
AbstractGeocoding of Synthetic Aperture Radar (SAR) imagery is an essential preprocessing step in multi-source data integration, management and analysis for many geomatics applications. The Range-Doppler (RD) approach is a rigorous physical sensor model, which achieves the highest geometric accuracy and has been widely used in terrain-geocoding of satellite SAR data. However the main drawback is that it is not computationally efficient. The Rational-Function (RF) model has been successfully used for processing of optical images (push broom sensors IKONOS and QuickBird), and is of considerable interest in processing of SAR datasets as an alternative to the RD method because of its high computational efficiency and fitting accuracy (e.g. RADARSAT-2). Two SAR terrain-geocoding methods, based on the RD and the RF models, have been implemented at Canada Center for Mapping and Earth Observation (CCMEO). In this paper we briefly describe the well-known RD mathematical model and the RF mathematical model in more detail. The relative geometric accuracy for the two methods is analysed and compared. Finally, some major advantages of the RF method over the RD method are presented.
Summary(Plain Language Summary, not published)
Earth Observation (EO) satellites are increasingly being used to provide data for a wide variety of applications. Ensuring the positional accuracy of EO imagery, or ¿geocoding¿ the imagery, is essential to support data analysis and the fusion of the data with other data sources to extract accurate information. At the Canada Centre for Remote Sensing, two geocoding methods have been implemented; the Range-Doppler (RD) and Rational-Function (RF) models. This paper describes the two methods, analyses and compares their geometric accuracy, and presents some major advantages of the RF model over the RD model. The paper concludes that utilization of the RF model can result in improvements in the preparation of satellite imagery to support further analysis.
GEOSCAN ID308091