A Statistical Analysis for Intensity Wavelength-Resolution SAR Difference Images
This paper presents a statistical analysis of intensity wavelength-resolution synthetic aperture radar (SAR) difference images. In this analysis, Anderson Darling goodness-of-fit tests are performed, considering two different statistical distributions as candidates for modeling the clutter-plus-nois...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/9/2401 |
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| author | Gustavo Henrique Mittmann Voigt Dimas Irion Alves Crístian Müller Renato Machado Lucas Pedroso Ramos Viet Thuy Vu Mats I. Pettersson |
| author_facet | Gustavo Henrique Mittmann Voigt Dimas Irion Alves Crístian Müller Renato Machado Lucas Pedroso Ramos Viet Thuy Vu Mats I. Pettersson |
| author_sort | Gustavo Henrique Mittmann Voigt |
| collection | DOAJ |
| description | This paper presents a statistical analysis of intensity wavelength-resolution synthetic aperture radar (SAR) difference images. In this analysis, Anderson Darling goodness-of-fit tests are performed, considering two different statistical distributions as candidates for modeling the clutter-plus-noise, i.e., the background statistics. The results show that the Gamma distribution is a good fit for the background of the tested SAR images, especially when compared with the Exponential distribution. Based on the results of this statistical analysis, a change detection application for the detection of concealed targets is presented. The adequate selection of the background distribution allows for the evaluated change detection method to achieve a better performance in terms of probability of detection and false alarm rate, even when compared with competitive performance change detection methods in the literature. For instance, in an experimental evaluation considering a data set obtained by the Coherent All Radio Band Sensing (CARABAS) II UWB SAR system, the evaluated change detection method reached a detection probability of 0.981 for a false alarm rate of 1/km<sup>2</sup>. |
| first_indexed | 2024-03-11T04:07:36Z |
| format | Article |
| id | doaj.art-1503e50bf1e64b7a817bdeb5e86b402c |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T04:07:36Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-1503e50bf1e64b7a817bdeb5e86b402c2023-11-17T23:39:42ZengMDPI AGRemote Sensing2072-42922023-05-01159240110.3390/rs15092401A Statistical Analysis for Intensity Wavelength-Resolution SAR Difference ImagesGustavo Henrique Mittmann Voigt0Dimas Irion Alves1Crístian Müller2Renato Machado3Lucas Pedroso Ramos4Viet Thuy Vu5Mats I. Pettersson6Telecommunications Engineering, Federal University of Pampa (UNIPAMPA), Alegrete 97546-550, BrazilDepartment of Telecommunications, Aeronautics Institute of Technology (ITA), São José dos Campos 12228-900, BrazilTelecommunications Engineering, Federal University of Pampa (UNIPAMPA), Alegrete 97546-550, BrazilDepartment of Telecommunications, Aeronautics Institute of Technology (ITA), São José dos Campos 12228-900, BrazilDepartment of Telecommunications, Aeronautics Institute of Technology (ITA), São José dos Campos 12228-900, BrazilDepartment of Mathematics and Natural Sciences, Blekinge Institute of Technology (BTH), 37179 Karlskrona, SwedenDepartment of Mathematics and Natural Sciences, Blekinge Institute of Technology (BTH), 37179 Karlskrona, SwedenThis paper presents a statistical analysis of intensity wavelength-resolution synthetic aperture radar (SAR) difference images. In this analysis, Anderson Darling goodness-of-fit tests are performed, considering two different statistical distributions as candidates for modeling the clutter-plus-noise, i.e., the background statistics. The results show that the Gamma distribution is a good fit for the background of the tested SAR images, especially when compared with the Exponential distribution. Based on the results of this statistical analysis, a change detection application for the detection of concealed targets is presented. The adequate selection of the background distribution allows for the evaluated change detection method to achieve a better performance in terms of probability of detection and false alarm rate, even when compared with competitive performance change detection methods in the literature. For instance, in an experimental evaluation considering a data set obtained by the Coherent All Radio Band Sensing (CARABAS) II UWB SAR system, the evaluated change detection method reached a detection probability of 0.981 for a false alarm rate of 1/km<sup>2</sup>.https://www.mdpi.com/2072-4292/15/9/2401background statisticsCARABAS-IIchange detection methodSARUWB |
| spellingShingle | Gustavo Henrique Mittmann Voigt Dimas Irion Alves Crístian Müller Renato Machado Lucas Pedroso Ramos Viet Thuy Vu Mats I. Pettersson A Statistical Analysis for Intensity Wavelength-Resolution SAR Difference Images Remote Sensing background statistics CARABAS-II change detection method SAR UWB |
| title | A Statistical Analysis for Intensity Wavelength-Resolution SAR Difference Images |
| title_full | A Statistical Analysis for Intensity Wavelength-Resolution SAR Difference Images |
| title_fullStr | A Statistical Analysis for Intensity Wavelength-Resolution SAR Difference Images |
| title_full_unstemmed | A Statistical Analysis for Intensity Wavelength-Resolution SAR Difference Images |
| title_short | A Statistical Analysis for Intensity Wavelength-Resolution SAR Difference Images |
| title_sort | statistical analysis for intensity wavelength resolution sar difference images |
| topic | background statistics CARABAS-II change detection method SAR UWB |
| url | https://www.mdpi.com/2072-4292/15/9/2401 |
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