The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Synthetic aperture radar interferometry
Abstract
Synthetic aperture radar interferometry is an imaging technique for measuring the topography of a surface, its changes over time, and other changes in the detailed characteristic of the surface. By exploiting the phase of the coherent radar signal, interferometry has transformed radar remote sensing from a largely interpretive science to a quantitative tool, with applications in cartography, geodesy, land cover characterization, and natural hazards. This paper reviews the techniques of interferometry, systems and limitations, and applications in a rapidly growing area of science and engineering.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Paterson, W. S. B., & Andrews, J. T. (1969) · Cited by 3,332
Radar interferometry and its application to changes in the Earth's surface
Massonnet, D., & Feigl, K. L. (1998) · Reviews of Geophysics · doi:10.1029/97rg03139 · Cited by 2,624
Goodman, J. W. (1985) · Cited by 2,605
Decorrelation in interferometric radar echoes
Zebker, H. A., & Villasenor, J. (1992) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.175330 · Cited by 2,453
Satellite radar interferometry: Two‐dimensional phase unwrapping
Goldstein, R. M., Zebker, H. A., & Werner, C. L. (1988) · Radio Science · doi:10.1029/rs023i004p00713 · Cited by 2,413
Self-citationInterferometry and Synthesis in Radio Astronomy
Thompson, A. R., Moran, J. M., & Swenson, G. W. (2017) · Astronomy and Astrophysics Library · doi:10.1007/978-3-319-44431-4 · Cited by 2,392
Radar interferogram filtering for geophysical applications
Goldstein, R. M., & Werner, C. L. (1998) · Geophysical Research Letters · doi:10.1029/1998gl900033 · Cited by 2,207
Self-citationThe displacement field of the Landers earthquake mapped by radar interferometry
Massonnet, D., Rossi, M., Carmona, C., Adragna, F., Peltzer, G., Feigl, K., & Rabaute, T. (1993) · Nature · doi:10.1038/364138a0 · Cited by 2,207
Synthetic aperture radar interferometry
Bamler, R., & Hartl, P. (1998) · Inverse Problems · doi:10.1088/0266-5611/14/4/001 · Cited by 2,099
Two-Dimensional Phase Unwrapping: Theory, Algorithms, and Software
Ghiglia, D. C., & Pritt, M. D. (1998) · Medical Entomology and Zoology · Cited by 2,031
Cited by
The Shuttle Radar Topography Mission
Farr, T. G., Rosen, P. A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., Roth, L., et al. (2007) · Reviews of Geophysics · doi:10.1029/2005rg000183 · Cited by 8,927
Self-citationLandslide inventory maps: New tools for an old problem
Guzzetti, F., Mondini, A. C., Cardinali, M., Fiorucci, F., Santangelo, M., & Chang, K.-T. (2012) · Earth-Science Reviews · doi:10.1016/j.earscirev.2012.02.001 · Cited by 2,092
A Global Assessment of the SRTM Performance
Rodríguez, E., Morris, C. S., & Belz, J. E. (2006) · Photogrammetric Engineering & Remote Sensing · doi:10.14358/pers.72.3.249 · Cited by 1,106
Recent advances in SAR interferometry time series analysis for measuring crustal deformation
Hooper, A., Bekaert, D., Spaans, K., & Arıkan, M. (2012) · Tectonophysics · doi:10.1016/j.tecto.2011.10.013 · Cited by 932
Phase Unwrapping via Graph Cuts
Bioucas-Dias, J. M., & Valadao, G. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.888351 · Cited by 572
Metadata
- Authors
- Rosen, P. A., Hensley, S., Joughin, I. R., Li, F. K., Madsen, S. N., Rodriguez, E., & Goldstein, R. M.
- Venue
- Proceedings of the IEEE
- Published
- 2000-03
- Volume
- 88
- Issue
- 3
- Pages
- 333-382
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W2129206142
- Cited by
- 2,670
- References
- 46
- FWCI
- 88.85
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Synthetic aperture radar interferometry. https://app.cochat.ai/papers/10.1109/5.838084
- The paper
- Rosen, P. A., Hensley, S., Joughin, I. R., Li, F. K., Madsen, S. N., Rodriguez, E., & Goldstein, R. M. (2000). Synthetic aperture radar interferometry. Proceedings of the IEEE. https://doi.org/10.1109/5.838084
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.