The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Geometrical SAR image registration
Abstract
Accurate subpixel registration of synthetic aperture radar (SAR) images is an issue that is again growing interest since its initial developments related to two-pass interferometry. Recent progress in coherent (multichannel) SAR processing raises the need for accurate registration of data takes acquired with large baseline spans, high temporal coverage, and with different frequency and/or operational modes. In this paper, we discuss a SAR image-registration procedure, based on the use of external measures which allows obtaining a very accurate alignment of SAR images. The presented technique makes use of a digital elevation model and of the precise information about the acquisition flight tracks, to compute the warping functions that map the position of each pixel in the different takes, thus avoiding any approximation. The resulting algorithm is simple, robust, precise, and very efficient; as a matter of fact, it may achieve high accuracy even in critical areas, such as steep topography regions. Moreover, the availability of an analytical and exact model allows performing a detailed sensitivity analysis that can be useful in evaluating the applicability of this technique even to future high-precision satellite systems. Extensive testing, carried out on several real European Remote Sensing and ENVISAT datasets, clearly shows the effectiveness of such algorithm in registering critical SAR images
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Citations
Cites
Berardino, P., Fornaro, G., Lanari, R., et al. (2002) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2002.803792 · Cited by 5,331
Self-citationThe generalized correlation method for estimation of time delay
Knapp, C., & Carter, G. (1976) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1976.1162830 · Cited by 4,433 · cited 3×
“…pixel i k , we can set ∆i(i k ) = ∆ ˆ i k ; moreover, allowing G ms (η), G mm (η), and G ss (η) be the mutual-and self-power spectral density (PSD) functions of the master and slave images m(i) and s(i s ), the spectral complex coherence is defined as [15] Γ(η) = G ms (η) [G mm (η)G ss (η)] 1/2 .”
Synthetic Aperture Radar Processing
Franceschetti, G., & Lanari, R. (2018) · CRC Press eBooks · doi:10.1201/9780203737484 · Cited by 948
Theory and design of interferometric synthetic aperture radars
Rodriguez, E., & Martin, J. M. (1992) · IEE Proceedings F Radar and Signal Processing · doi:10.1049/ip-f-2.1992.0018 · Cited by 775
New approaches in interferometric SAR data processing
Lin, Q., Vesecky, J. F., & Zebker, H. A. (1992) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.142934 · Cited by 141
Metadata
- Authors
- Sansosti, E., Berardino, P., Manunta, M., Serafino, F., & Fornaro, G.
- Venue
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 2006-10
- Volume
- 44
- Issue
- 10
- Pages
- 2861-2870
- ISSN
- 0196-2892 (ISSN-L)
- OpenAlex
- W2151358505
- Cited by
- 306
- References
- 5
- FWCI
- 6.76
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sansosti, E., Berardino, P., Manunta, M., Serafino, F., & Fornaro, G. (2006). Geometrical SAR image registration. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/tgrs.2006.875787
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