Neyman-Pearson Criterion-Based Change Detection Methods for Wavelength-Resolution SAR Image Stacks
| Autor: | Alves, Dimas I., Muller, Crístian, Palm, Bruna G., Pettersson, Mats, Vu, Viet Thuy, Machado, Renato, Uchoa-Filho, Bartolomeu F., Dammert, Patrik, Hellsten, Hans |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Surveillance
Wavelength resolution Sensors Synthetic aperture radar (SAR) images Neyman - Pearson criterion Synthetic aperture radar Signalbehandling Coherent all radio band sensing (CARABAS) II very-high-frequency (VHF) ultrawideband (UWB) synthetic aperture radar (SAR) Probability of detection Priori information image stack Radar imaging change detection (CD) methods Competitive performance Clutter Radar polarimetry Signal Processing Change detection Hypothesis tests Rician channels Probability |
| Popis: | 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. CCBY open access |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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