基于流形学习的SAR目标方向估计

2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2022-12-16 DOI:10.1109/ICCWAMTIP56608.2022.10016516

Lou Jun, Wang Ling, Wang Pengyu

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引用次数: 0

摘要

目标方位估计是合成孔径雷达(SAR)自动目标识别(ATR)中的一个重要步骤。本文提出了一种基于流形学习的SAR目标方向估计方法。分析了不同方位的SAR目标的低维流形，证明了通过二维嵌入可以估计出方位角。在MSTAR数据集上的结果表明了该方法的有效性。

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SAR Target Orientation Estimation Based on Manifold Learning

Target orientation estimation is an important step in synthetic aperture radar (SAR) automatic target recognition (ATR). In this paper, we propose a SAR target orientation estimation method using manifold learning. We analyze the low dimensional manifold of SAR targets with different orientation, and show that orientation angle can be estimated from the two dimensional embedding. Results in MSTAR data set are presented and show the validity of the proposed method.

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2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)

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