A NEW SEGMENTATION METHOD IN SAR IMAGE RECONSTRUCTION
A NEW SEGMENTATION METHOD IN SAR IMAGE RECONSTRUCTION
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发表时间：
2007
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通讯作者：
Y. Aoki;Takeshi Kato
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作者：
Y. Aoki;Takeshi Kato
提出了一种新的合成孔径雷达（SAR）图像分割方法。新方法直接从接收信号中实现分割，而传统技术需要通过脉冲压缩进行预处理，然后进行校正。新方法的优点是简单，以及高性能。数值例子表明，该方法在图像重建中确实有较好的分割效果。如果噪声水平不是太高并且应用了适当的降噪技术，则即使在被噪声污染的情况下，高性能也是有效的。
This paper presents a new segmentation method in synthetic aperture radar (SAR) image reconstruction. The new method achieves segmentation directly from re- ceived signal, whereas conventional techniques require preprocessing by pulse compression and corrections afterwards. The advantage of the new method is the simplicity as well as the high performance. Numerical examples demonstrate that the new method indeed gives better segmentation results in image reconstruction. The high performance is valid even in the case contaminated by noise if the noise level is not too high and proper noise reduction technique is applied.