Change Detection Method for Wavelength- Resolution SAR Images Based on Bayes’ Theorem: An Iterative Approach
This paper presents an iterative change detection (CD) method based on Bayes’ theorem for very high-frequency (VHF) ultra-wideband (UWB) SAR images considering commonly used clutter-plus-noise statistical models. The proposed detection technique uses the information of the detected change...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10210380/ |
| _version_ | 1797243529420865536 |
|---|---|
| author | Dimas Irion Alves Bruna Gregory Palm Hans Hellsten Renato Machado Viet Thuy Vu Mats I. Pettersson Patrik Dammert |
| author_facet | Dimas Irion Alves Bruna Gregory Palm Hans Hellsten Renato Machado Viet Thuy Vu Mats I. Pettersson Patrik Dammert |
| author_sort | Dimas Irion Alves |
| collection | DOAJ |
| description | This paper presents an iterative change detection (CD) method based on Bayes’ theorem for very high-frequency (VHF) ultra-wideband (UWB) SAR images considering commonly used clutter-plus-noise statistical models. The proposed detection technique uses the information of the detected changes to iteratively update the data and distribution information, obtaining more accurate clutter-plus-noise statistics resulting in false alarm reduction. The Bivariate Rayleigh and Bivariate Gaussian distributions are investigated as candidates to model the clutter-plus-noise, and the Anderson-Darling goodness-of-fit test is used to investigate three scenarios of interest. Different aspects related to the distributions are discussed, the observed mismatches are analyzed, and the impact of the distribution chosen for the proposed iterative change detection method is analyzed. Finally, the proposed iterative method performance is assessed in terms of the probability of detection and false alarm rate and compared with other competitive solutions. The experimental evaluation uses data from real measurements obtained using the CARABAS II SAR system. Results show that the proposed iterative CD algorithm performs better than the other methods. |
| first_indexed | 2024-04-24T18:56:34Z |
| format | Article |
| id | doaj.art-b608a8f5f4c1423e84c7b35085241815 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-24T18:56:34Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-b608a8f5f4c1423e84c7b350852418152024-03-26T17:34:45ZengIEEEIEEE Access2169-35362023-01-0111847348474310.1109/ACCESS.2023.330310710210380Change Detection Method for Wavelength- Resolution SAR Images Based on Bayes’ Theorem: An Iterative ApproachDimas Irion Alves0https://orcid.org/0000-0002-5443-6446Bruna Gregory Palm1https://orcid.org/0000-0003-0423-9927Hans Hellsten2Renato Machado3Viet Thuy Vu4https://orcid.org/0000-0003-3945-8951Mats I. Pettersson5https://orcid.org/0000-0002-6643-312XPatrik Dammert6https://orcid.org/0000-0002-7339-849XDepartment of Telecommunications, Aeronautics Institute of Technology (ITA), São José dos Campos, BrazilDepartment of Mathematics and Natural Sciences, Blekinge Institute of Technology (BTH), Karlskrona, SwedenSchool of Information Technology, Halmstad University, Halmstad, SwedenDepartment of Telecommunications, Aeronautics Institute of Technology (ITA), São José dos Campos, BrazilDepartment of Mathematics and Natural Sciences, Blekinge Institute of Technology (BTH), Karlskrona, SwedenDepartment of Mathematics and Natural Sciences, Blekinge Institute of Technology (BTH), Karlskrona, SwedenSAAB AB Surveillance, SAAB AB, Gothenburg, SwedenThis paper presents an iterative change detection (CD) method based on Bayes’ theorem for very high-frequency (VHF) ultra-wideband (UWB) SAR images considering commonly used clutter-plus-noise statistical models. The proposed detection technique uses the information of the detected changes to iteratively update the data and distribution information, obtaining more accurate clutter-plus-noise statistics resulting in false alarm reduction. The Bivariate Rayleigh and Bivariate Gaussian distributions are investigated as candidates to model the clutter-plus-noise, and the Anderson-Darling goodness-of-fit test is used to investigate three scenarios of interest. Different aspects related to the distributions are discussed, the observed mismatches are analyzed, and the impact of the distribution chosen for the proposed iterative change detection method is analyzed. Finally, the proposed iterative method performance is assessed in terms of the probability of detection and false alarm rate and compared with other competitive solutions. The experimental evaluation uses data from real measurements obtained using the CARABAS II SAR system. Results show that the proposed iterative CD algorithm performs better than the other methods.https://ieeexplore.ieee.org/document/10210380/Bayes’ theoremCARABAS IIiterative change detectionSARwavelength-resolution SAR images |
| spellingShingle | Dimas Irion Alves Bruna Gregory Palm Hans Hellsten Renato Machado Viet Thuy Vu Mats I. Pettersson Patrik Dammert Change Detection Method for Wavelength- Resolution SAR Images Based on Bayes’ Theorem: An Iterative Approach IEEE Access Bayes’ theorem CARABAS II iterative change detection SAR wavelength-resolution SAR images |
| title | Change Detection Method for Wavelength- Resolution SAR Images Based on Bayes’ Theorem: An Iterative Approach |
| title_full | Change Detection Method for Wavelength- Resolution SAR Images Based on Bayes’ Theorem: An Iterative Approach |
| title_fullStr | Change Detection Method for Wavelength- Resolution SAR Images Based on Bayes’ Theorem: An Iterative Approach |
| title_full_unstemmed | Change Detection Method for Wavelength- Resolution SAR Images Based on Bayes’ Theorem: An Iterative Approach |
| title_short | Change Detection Method for Wavelength- Resolution SAR Images Based on Bayes’ Theorem: An Iterative Approach |
| title_sort | change detection method for wavelength resolution sar images based on bayes x2019 theorem an iterative approach |
| topic | Bayes’ theorem CARABAS II iterative change detection SAR wavelength-resolution SAR images |
| url | https://ieeexplore.ieee.org/document/10210380/ |
| work_keys_str_mv | AT dimasirionalves changedetectionmethodforwavelengthresolutionsarimagesbasedonbayesx2019theoremaniterativeapproach AT brunagregorypalm changedetectionmethodforwavelengthresolutionsarimagesbasedonbayesx2019theoremaniterativeapproach AT hanshellsten changedetectionmethodforwavelengthresolutionsarimagesbasedonbayesx2019theoremaniterativeapproach AT renatomachado changedetectionmethodforwavelengthresolutionsarimagesbasedonbayesx2019theoremaniterativeapproach AT vietthuyvu changedetectionmethodforwavelengthresolutionsarimagesbasedonbayesx2019theoremaniterativeapproach AT matsipettersson changedetectionmethodforwavelengthresolutionsarimagesbasedonbayesx2019theoremaniterativeapproach AT patrikdammert changedetectionmethodforwavelengthresolutionsarimagesbasedonbayesx2019theoremaniterativeapproach |