无失真SAR图像和变化检测

J. Wood, R. White, C. Oliver
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引用次数: 7

摘要

概述了合成孔径雷达(SAR)成像中离焦和方位畸变的来源。它显示了如何自动对焦测量可以用来测量飞机的轨迹,并提供相位校正的原始SAR数据。当相位校正数据被处理后,正确聚焦的图像,没有任何方位扭曲,就产生了。对于低视角系统,由于地形高度变化引起的距离失真通常可以忽略不计,因此所描述的系统产生无失真的SAR图像。还考虑了变化检测问题:给定同一区域的两幅SAR图像,定位所获得图像之间的时间发生的变化。本文描述了解决这个问题的两种方法。首先对两幅图像进行简单的特征运算,然后进行硬限制和图像差分。这被发现可以很好地检测变化的目标。在第二种方法中,对两幅图像进行分割,并比较分割描述的不一致是否表明变化。这种方法允许人们识别具有不同特征的目标的变化,例如形状或大小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distortion free SAR imagery and change detection
Sources of defocusing and azimuth distortion in synthetic-aperture radar (SAR) imagery are outlined. It is shown how autofocus measurements can be used to measure the aircraft track, and provide phase corrections to the raw SAR data. When the phase-corrected data is processed, correctly focussed imagery, free of any azimuth distortions, is produced. For low look-angle systems, range distortion due to terrain height variation is generally negligible, and therefore the system described produces distortion-free SAR imagery. The change detection problem is also considered: given two SAR images of the same area, locate changes that have occurred in the time between the images being obtained. Two approaches to this problem are described. The first applies a simple featuring operation to the two images, followed by hard limiting and image differencing. This is found to detect changed targets well. In the second method, the two images are segmented, and the segmentation descriptions are compared for inconsistencies indicating changes. This approach allows one to identify changes in targets having distinctive characteristics, such as shape or size.<>
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