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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Multichannel whitening of SAR imagery
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Multichannel whitening of SAR imagery

机译：SAR影像的多通道美白

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摘要

The presence of speckle in synthetic aperture radar (SAR) imagery makes image interpretation more difficult and worsens the performance of algorithms designed to detect objects in the imagery. Image processing techniques to reduce speckle usually do so at the expense of spatial resolution. Multichannel whitening is one image processing technique that reduces image speckle while maintaining spatial resolution. Multichannel whitening is applied to imagery recorded during a foliage penetration experiment undertaken by MIT Lincoln Laboratory using the NASA/JPL UHF, L-, C-band fully polarimetric SAR in July 1990. In this experiment, a 50 km/sup 2/ forested area near Portage, Maine was imaged. Twenty-seven 8 ft trihedral corner reflectors were arrayed throughout the imaged area beneath the foliage in order to measure foliage attenuation. The detection performance for corner reflectors under foliage is compared for the raw data and whitened data, and the predictions of a product model for the degree of speckle reduction are compared with the data.
机译：合成孔径雷达（SAR）图像中斑点的存在使图像解释变得更加困难，并且恶化了旨在检测​​图像中物体的算法的性能。减少斑点的图像处理技术通常以牺牲空间分辨率为代价。多通道增白是一种在保持空间分辨率的同时减少图像斑点的图像处理技术。麻省理工学院林肯实验室在1990年7月使用NASA / JPL UHF，L波段，C波段全极化SAR进行的树叶穿透实验中，将多通道白化应用于记录的图像。在此实验中，森林面积为50 km / sup 2在缅因州Portage附近拍摄了照片在叶子下方的整个成像区域中排列了27个8英尺的三面角反射器，以测量叶子的衰减。比较了原始数据和增白数据对树叶下角反射器的检测性能，并将产品模型对斑点减少程度的预测与数据进行了比较。

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