Quasi-invariants for recognition of articulated and non-standard objects in SAR images

G. Jones, B. Bhanu
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引用次数: 7

Abstract

Using SAR scattering center locations and magnitudes as features, invariances with articulation (i.e., turret rotation for the ZSU 23/4 gun and T72 tank), with configuration variants (e.g. fuel barrels, searchlights, etc.) and with a depression angle change are shown for real SAR images obtained from the MSTAR public data. This location and magnitude quasi-invariance forms a basis for an innovative SAR recognition engine that successfully identifies real articulated and non-standard configuration vehicles based on non-articulated, standard recognition models. Identification performance results are given as confusion matrices and ROC curves for articulated objects, for configuration variants, and for a small change in depression angle.
SAR图像中铰接和非标准目标识别的准不变量
以SAR散射中心位置和震级为特征,对MSTAR公开数据获取的真实SAR图像显示了关节(即ZSU 23/4炮和T72坦克的炮塔旋转)、配置变量(如燃料桶、探照灯等)和俯角变化的不变性。这种位置和幅度的准不变性为创新的SAR识别引擎奠定了基础,该引擎可以成功识别基于非铰接式标准识别模型的真实铰接式和非标准配置车辆。识别性能结果以混淆矩阵和ROC曲线的形式给出,用于铰接对象、配置变量和俯角的小变化。
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