We propose a multistage SAR target recognition process based on target detection, target segmentation, target aspect estimation and invariant feature extraction.
提出一种以目标检测、目标分割、目标方位角估计和目标不变性特征提取为线索的SAR目标识别框架。
SAR target recognition is an important process in SAR images interpretation and analysis. The process of recognition contains detection, discrimination, and recognition.
目标识别是SAR图像解译和分析的重要过程，识别过程主要包括检测、鉴别和识别三个阶段。
The segmentation of SAR target chip image is an important process for target recognition based on SAR image.
SAR目标切片图像分割是基于SAR图像目标识别的一个重要步骤。
A new method of ellipse target recognition for SAR images is proposed.
提出了一种对SAR图像中的椭圆形目标进行自动识别的综合方法。
In this paper, new synthetic aperture radar (SAR) image target recognition approach based on multiple views decision fusion is presented.
提出了一种基于多方位角图像决策融合的合成孔径雷达(SAR)图像目标识别方法。
This paper research on SAR de-noises and target recognition with PCNN. Results were reached in this paper about adoption of PCNN in the de-noise and recognition of SAR image through tests.
本文主要研究PCNN在SAR降噪和目标特征提取过程中的应用，通过对比PCNN方法和现有方法的实验效果确定PCNN在SAR目标识别过程的适用性。
Azimuth estimation is very important in the field of Automatic Target Recognition(ATR) of Synthetic Aperture Radar(SAR) images.
方位角估计是合成孔径雷达（SAR）图像自动目标识别研究中的一个重要问题。
Azimuth estimation is very important in the field of Automatic Target Recognition(ATR) of Synthetic Aperture Radar(SAR) images.
方位角估计是合成孔径雷达（SAR）图像自动目标识别研究中的一个重要问题。
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