论文标题
Spaceborne SAR成像的基于熵的多普勒质量估计和减少斑点
Entropy-Based Doppler Centroid Estimation and Speckle Noise Reduction for Spaceborne SAR Imaging
论文作者
论文摘要
在本文中，我们介绍了带状映射模式的spaceborne合成孔径雷达（SAR）成像，重点是多普勒质心频率估计。非零的多普勒质心频率是非零斜视角的结果，如果不补偿，则可以将图像降低。我们根据重建图像的熵提出了一种有效的方法，以估计多普勒质心频率的分数部分。此外，我们讨论了斑点噪声，该噪声会大大降低重建图像的质量，并试图有效地减轻其效果。在实施Speckle降噪算法之后，重建图像的质量得到了显着改善。最后，我们利用从加拿大温哥华的Radarsat-1卫星收集的实验数据来验证所提出的技术的准确性和有效性。
In this paper, we present strip-map mode spaceborne Synthetic Aperture Radar (SAR) imaging with the focus on Doppler centroid frequency estimation. The non-zero Doppler centroid frequency is the result of non-zero squint angle which if it is not compensated it can de-focus the image. We present an efficient method based on the entropy of the reconstructed image to estimate the fractional part of the Doppler centroid frequency. Furthermore, we discuss the speckle noise, which degrades the quality of the reconstructed images considerably, and attempt to alleviate its effect efficiently. Following the implementation of the speckle noise reduction algorithm, a significant improvement in the quality of the reconstructed images is achieved. Finally, we utilize the experimental data gathered from the RADARSAT-1 satellite of Vancouver Canada to verify the accuracy and effectiveness of the proposed techniques.
