Abstract
A new type of polarization signatures for the radar imaging of the Earth’s cover is proposed. These signatures allow determining the degree of spatial variations of the backscattering coefficient based on the fractal approach. The azimuthal dependence of the radar backscattering spatial variations is discovered when analyzing backscattering on a pine forest.
Similar content being viewed by others
References
Bondur, V.G. and Chimitdorzhiev, T.N., Texture analysis of radar images of vegetation, Izv. Vyssh. Uchebn. Zaved., Geod. Aerofotos’emka, 2008a, no. 5, pp. 9–14.
Bondur, V.G. and Chimitdorzhiev, T.N., Remote sensing of vegetation by optical–microwave methods, Izv. Vyssh. Uchebn. Zaved., Geod. Aerofotos’emka, 2008b, no. 6, pp. 64–73.
Chimitdorzhiev, T.N., Arkhincheev, V.E., Dmitriev, A.V., and Tsydypov, B.Z., Fractal analysis of radar polarimetric data for the classification of Earth covers, Issled. Zemli Kosmosa, 2007a, no. 4, pp. 27–33.
Chimitdorzhiev, T.N., Arkhincheev, V.E., and Dmitriev, A.V., Polarimetric estimate for spatial fluctuations of radar images for recovering the structure of forest canopy, Issled. Zemli Kosmosa, 2007b, no. 5, pp. 80–82.
Cloude, S.R. and Pottier, E., A review of target decomposition theorems in radar polarimetry, IEEE Trans. Geosci. Remote Sens., 1996, vol. 34, no. 2, pp. 498–518. doi 10.1109/36.485127
Freeman, A. and Durden, S.L., A three-component model for polarimetric SAR imagery, IEEE Trans. Geosci. Remote Sens., 1998, vol. 36, no. 3, pp. 963–973. doi 10.1109/36.673687
Jafari, M., Maghsoudi, Y., and Zoej, M., A new method for land cover characterization and classification of polarimetric SAR data using polarimetric signatures, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 2015, no. 99, pp. 1–13. doi 10.1109/JSTARS.2014.2387374
Myint, S.W., Fractal approaches in texture analysis and classification of remotely sensed data: Comparisons with spatial autocorrelation techniques and simple descriptive statistics, Int. J. Remote Sens., 2003, vol. 24, no. 9, pp. 1925–1947.
Neumann, M., Ferro-Famil, L., and Reigber, A., Estimation of forest structure, ground and canopy layer characteristics from multi-baseline polarimetric interferometric SAR data, IEEE Trans. Geosci. Remote Sens., 2010, vol. 48, no. 3, pp. 1086–1104. doi 10.1109/TGRS.2009.2031101
Strzelczyk, J. and Porzycka-Strzelczyk, S., Identification of coherent scatterers in SAR images based on the analysis of polarimetric signatures, IEEE Geosci. Remote Sens. Lett., 2014, vol. 11, no. 4, pp. 783–787. doi 10.1109/LGRS.2013.2279005
Tustison, N. and Gee, J., Stochastic fractal dimension image. http://hdl.handle.net/1926/1525.
Van Zyl, J.J., Zebker, H.A., and Elachi, C., Imaging radar polarization signatures: Theory and observation, Radio Sci., 1987, vol. 22, no. 4, pp. 529–543. doi 10.1029/RS022i004p00529
Yamaguchi, Y., Moriyama, T., Ishido, M., and Yamada, H., Four-component scattering model for polarimetric SAR image decomposition, IEEE Trans. Geosci. Remote Sens., 2005, vol. 43, no. 8, pp. 1699–1706. doi 10.1109/TGRS.2005.852084
Zakharova, L.N., Exploitation of interferometric coherence generated from fully polarimetric SAR data for the classification of Earth covers, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2008, no. 5, vol. 1, pp. 96–101.
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © A.V. Dmitriev, T.N. Chimitdorzhiev, P.N. Dagurov, 2016, published in Issledovanie Zemli iz Kosmosa, 2016, No. 5, pp. 21–25.
Rights and permissions
About this article
Cite this article
Dmitriev, A.V., Chimitdorzhiev, T.N. & Dagurov, P.N. Polarization Signature of Radar Backscattering Spatial Variations. Izv. Atmos. Ocean. Phys. 53, 991–995 (2017). https://doi.org/10.1134/S0001433817090079
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S0001433817090079