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An algorithm for de-shadowing spectral imagery

机译:一种解扫光谱图像的算法

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A new matched filter-based algorithm has been developed for detecting and approximately correcting for shadows or other illumination variations in spectral imagery. Initial evaluations have been conducted with a handful of data cubes, including AVIRIS data. The de-shadowed images have a generally realistic appearance and reveal a wealth of previously hidden surface details.
机译:已经开发了一种新的匹配滤波器基算法,用于检测和大致校正光谱图像中的阴影或其他照明变化。已经用少数数据多维数据集进行了初始评估,包括Aviris数据。遮蔽图像具有普遍逼真的外观,并揭示了先前隐藏的表面细节的丰富。

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