Neyman-Pearson Criterion-Based Change Detection Methods for Wavelength-Resolution SAR Image Stacks

This letter presents two new change detection (CD) methods for synthetic aperture radar (SAR) image stacks based on the Neyman-Pearson criterion. The first proposed method uses the data from wavelength-resolution images stack to obtain background statistics, which are used in a hypothesis test to de...

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Bibliographic Details
Published in:IEEE geoscience and remote sensing letters 2022, Vol.19, p.1-5
Main Authors: Alves, Dimas I., Muller, Cristian, Palm, Bruna G., Pettersson, Mats I., Vu, Viet T., Machado, Renato, Uchoa-Filho, Bartolomeu F., Dammert, Patrik, Hellsten, Hans
Format: Article
Language:English
Subjects:
Change detection
change detection (CD) methods
Clutter
Coherent all radio band sensing (CARABAS) II
Competitive performance
Criteria
Detection
False alarms
Hypotheses
Hypothesis tests
image stack
Neyman - Pearson criterion
Performance assessment
Priori information
Probability
Probability of detection
Probability theory
Radar imaging
Radar polarimetry
Resolution
Rician channels
SAR (radar)
Sensors
Stacks
Statistical methods
Statistical tests
Statistics
Surveillance
Synthetic aperture radar
Synthetic aperture radar (SAR) images
very-high-frequency (VHF) ultrawideband~(UWB) synthetic aperture radar (SAR)
Wavelength
Wavelength resolution
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Summary:This letter presents two new change detection (CD) methods for synthetic aperture radar (SAR) image stacks based on the Neyman-Pearson criterion. The first proposed method uses the data from wavelength-resolution images stack to obtain background statistics, which are used in a hypothesis test to detect changes in a surveillance image. The second method considers a priori information about the targets to obtain the target statistics, which are used together with the previously obtained background statistics, to perform a hypothesis test to detect changes in a surveillance image. A straightforward processing scheme is presented to test the proposed CD methods. To assess the performance of both proposed methods, we considered the coherent all radio band sensing (CARABAS)-II SAR images. In particular, to obtain the temporal background statistics required by the derived methods, we used stacks with six images. The experimental results show that the proposed techniques provide a competitive performance in terms of probability of detection and false alarm rate compared with other CD methods.
ISSN:1545-598X
1558-0571
1558-0571
DOI:10.1109/LGRS.2021.3080616