| Title | Comparison between Range-Doppler and Rational-Function methods for SAR terrain geocoding |
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| Author | Nedelcu, S; Brisco, B |
| Source | Canadian Journal of Remote Sensing 2018 p. 1-11, https://doi.org/10.1080/07038992.2018.1479635 |
| Image |  |
| Year | 2018 |
| Alt Series | Natural Resources Canada, Contribution Series 20170386 |
| Publisher | Informa UK Limited |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf; html; csv |
| Subjects | geophysics; remote sensing; satellite imagery; radar methods; models; geometric analyses; Methodology; Data processing |
| Illustrations | schematic representations; tables; satellite images |
| Program | Remote Sensing Science |
| Released | 2018 12 29 |
| Abstract | Geocoding 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.
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| 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 ID | 308091 |
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