伪不变特征(pif)的解析描述

W. Philpot, T. Ansty
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引用次数: 7

摘要

大气图像对归一化需要不变性特征。现在存在强大的统计方法,旨在通过定量评估图像对中像素的光谱相关性来分离未改变的像素。这表明,在分析路径下应该有可能达到类似的结果,我们的假设是,分析过程的推导将产生一些不能直接用随机方法获得的物理洞察力。在本文中,我们推导了一个解析公式,将pif与场景的辐射特性联系起来。该公式然后倒转,以产生两个图像的透射光谱的比例估计给定的路径辐射为每个场景和一组不变的特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analytical description of pseudo-invariant features (PIFs)
Invariant features are needed for atmospheric normalization of images pairs. Powerful statistical approaches now exist, designed to isolate unchanged pixels based on quantitatively evaluating the spectral correlation of pixels in image pairs. This suggests that it should be possible to reach similar results following an analytical path, and our hypothesis is that the derivation of an analytical procedure will yield some physical insight that is not directly accessible with a stochastic approach. In this paper we derive an analytical formula that relates PIFs to the radiometric properties of the scenes. The formula is then inverted to yield an estimate of the ratio of transmission spectra of the two images given the path radiance for each scene and a set of invariant features.
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