Approximation of distributions for SAR images: Proposal, evaluation and practical consequences
Data from a coherent illumination system like a Synthetic Aperture Radar (SAR) can be modelled by the multiplicative model. This model explains the characteristics of these data. The multiplicative model states that, under certain conditions, the constructive and destructive interferences of the inc...
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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_03270793_v31_n2_p83_Mejail |
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todo:paper_03270793_v31_n2_p83_Mejail2023-10-03T15:24:36Z Approximation of distributions for SAR images: Proposal, evaluation and practical consequences Mejail, M.E. Frery, A.C. Jacobo-Berlles, J. Bustos, O. Image processing SAR Statistical analysis Data from a coherent illumination system like a Synthetic Aperture Radar (SAR) can be modelled by the multiplicative model. This model explains the characteristics of these data. The multiplicative model states that, under certain conditions, the constructive and destructive interferences of the incident and reflected signals give a return that varies, in a random manner, with the mean value of the backscatter corresponding to the illuminated target. The script K sign distributions have been widely used to model data comming from a coherent illumination system, in particular for SAR images. These distributions allow us to model homogeneous as well as heterogeneous data. Given the need of finding a model for extremely heterogeneous data, a new class of distributions, the G distributions and a particular case the G0 A distributions have been recently proposed. These distributions model urban area very well, while script K sign distributions do not fit this type of data. In this work, the feasibility of substituting the G0 A distribution for the script K signA distribution is studied and the practical usefulness of doing this will be shown. Once this fact is established, it will be possible to consider SAR images under the G0 A model only. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_03270793_v31_n2_p83_Mejail |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Image processing SAR Statistical analysis |
| spellingShingle |
Image processing SAR Statistical analysis Mejail, M.E. Frery, A.C. Jacobo-Berlles, J. Bustos, O. Approximation of distributions for SAR images: Proposal, evaluation and practical consequences |
| topic_facet |
Image processing SAR Statistical analysis |
| description |
Data from a coherent illumination system like a Synthetic Aperture Radar (SAR) can be modelled by the multiplicative model. This model explains the characteristics of these data. The multiplicative model states that, under certain conditions, the constructive and destructive interferences of the incident and reflected signals give a return that varies, in a random manner, with the mean value of the backscatter corresponding to the illuminated target. The script K sign distributions have been widely used to model data comming from a coherent illumination system, in particular for SAR images. These distributions allow us to model homogeneous as well as heterogeneous data. Given the need of finding a model for extremely heterogeneous data, a new class of distributions, the G distributions and a particular case the G0 A distributions have been recently proposed. These distributions model urban area very well, while script K sign distributions do not fit this type of data. In this work, the feasibility of substituting the G0 A distribution for the script K signA distribution is studied and the practical usefulness of doing this will be shown. Once this fact is established, it will be possible to consider SAR images under the G0 A model only. |
| format |
JOUR |
| author |
Mejail, M.E. Frery, A.C. Jacobo-Berlles, J. Bustos, O. |
| author_facet |
Mejail, M.E. Frery, A.C. Jacobo-Berlles, J. Bustos, O. |
| author_sort |
Mejail, M.E. |
| title |
Approximation of distributions for SAR images: Proposal, evaluation and practical consequences |
| title_short |
Approximation of distributions for SAR images: Proposal, evaluation and practical consequences |
| title_full |
Approximation of distributions for SAR images: Proposal, evaluation and practical consequences |
| title_fullStr |
Approximation of distributions for SAR images: Proposal, evaluation and practical consequences |
| title_full_unstemmed |
Approximation of distributions for SAR images: Proposal, evaluation and practical consequences |
| title_sort |
approximation of distributions for sar images: proposal, evaluation and practical consequences |
| url |
http://hdl.handle.net/20.500.12110/paper_03270793_v31_n2_p83_Mejail |
| work_keys_str_mv |
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1782029894854639616 |