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- W2024011192 abstract "The most challenging problem of Automatic Target Recognition (ATR) is the extraction of robust and independent targetfeatures which describe the target unambiguously. These features have to be robust and invariant in different senses: intime, between aspect views (azimuth and elevation angle), between target motion (translation and rotation) and betweendifferent target variants. Especially for ground moving targets in military applications an irregular target motion istypical, so that a strong variation of the backscattered radar signal with azimuth and elevation angle makes the extractionof stable and robust features most difficult. For ATR based on High Range Resolution (HRR) profiles and / or InverseSynthetic Aperture Radar (ISAR) images it is crucial that the reference dataset consists of stable and robust features,which, among others, will depend on the target aspect and depression angle amongst others. Here it is important to findan adequate data grid for an efficient data coverage in the reference dataset for ATR.In this paper the variability of the backscattered radar signals of target scattering centers is analyzed for different HRRprofiles and ISAR images from measured turntable datasets of ground targets under controlled conditions. Especially thedependency of the features on the elevation angle is analyzed regarding to the ATR of large strip SAR data with a largerange of depression angles by using available (I)SAR datasets as reference. In this work the robustness of thesescattering centers is analyzed by extracting their amplitude, phase and position. Therefore turntable measurements undercontrolled conditions were performed targeting an artificial military reference object called STANDCAM. Measuresreferring to variability, similarity, robustness and separability regarding the scattering centers are defined. Thedependency of the scattering behaviour with respect to azimuth and elevation variations is analyzed.Additionally generic types of features (geometrical, statistical), which can be derived especially from (I)SAR images, areapplied to the ATR-task. Therefore subsequently the dependence of individual feature values as well as the featurestatistics on aspect (i.e. azimuth and elevation) are presented. The Kolmogorov-Smirnov distance will be used to showhow the feature statistics is influenced by varying elevation angles. Finally, confusion matrices are computed betweenthe STANDCAM target at all eleven elevation angles. This helps to assess the robustness of ATR performance under theinfluence of aspect angle deviations between training set and test set." @default.
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- W2024011192 date "2011-05-13" @default.
- W2024011192 modified "2023-09-23" @default.
- W2024011192 title "Variability and robustness of scatterers in HRR/ISAR ground target data and its influence on the ATR performance" @default.
- W2024011192 doi "https://doi.org/10.1117/12.882289" @default.
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