The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A review of target decomposition theorems in radar polarimetry
Abstract
In this paper, we provide a review of the different approaches used for target decomposition theory in radar polarimetry. We classify three main types of theorem; those based on the Mueller matrix and Stokes vector, those using an eigenvector analysis of the covariance or coherency matrix, and those employing coherent decomposition of the scattering matrix. We unify the formulation of these different approaches using transformation theory and an eigenvector analysis. We show how special forms of these decompositions apply for the important case of backscatter from terrain with generic symmetries.
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
Lie Groups in Electromagnetic Wave Propagation and Scattering
Cloude, S. R. (1992) · Journal of Electromagnetic Waves and Applications · doi:10.1163/156939392x01552 · Cited by 36
Self-citation
Cited by
A three-component scattering model for polarimetric SAR data
Freeman, A., & Durden, S. L. (1998) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.673687 · Cited by 2,390
Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future
Mondini, A. C., Guzzetti, F., Chang, K.-T., Monserrat, O., Martha, T. R., & Manconi, A. (2021) · Earth-Science Reviews · doi:10.1016/j.earscirev.2021.103574 · Cited by 303
Structure of polarimetric purity of three-dimensional polarization states
Gil, J. J., Friberg, A. T., Setälä, T., & San José, I. (2017) · Physical Review A · doi:10.1103/physreva.95.053856 · Cited by 47
Gil, J. J., & San José, I. (2010) · Optics Communications · doi:10.1016/j.optcom.2010.04.090 · Cited by 46
Metadata
- Authors
- Cloude, S. R., & Pottier, E.
- Venue
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 1996-03
- Volume
- 34
- Issue
- 2
- Pages
- 498-518
- ISSN
- 0196-2892 (ISSN-L)
- OpenAlex
- W2078985447
- Cited by
- 2,541
- References
- 1
- FWCI
- 40.28
- 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: A review of target decomposition theorems in radar polarimetry. https://app.cochat.ai/papers/10.1109/36.485127
- The paper
- Cloude, S. R., & Pottier, E. (1996). A review of target decomposition theorems in radar polarimetry. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/36.485127
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.