形态学滤波用于SPOT图像剥离校正

Gerald J.F. Banon, Junior Barrera
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引用次数: 9

摘要

本文的目的是展示一系列基本形态滤波操作如何导致一些1B级SPOT图像上存在的剥离效应的校正。所采用的基本思想是利用条纹的先验建模来设计形态滤波器。整个算法分为三个步骤。首先得到显示垂直方向高频的二值图像。然后推导出另一个二值图像,该图像指示条纹的位置。最后,在条纹位置进行形态学插值得到校正后的图像。每个处理步骤的效果都是从巴西南部阿雷格里港市的原始图像中说明的,该城市被条纹腐蚀了。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Morphological filtering for stripping correction of SPOT images

The objective of this paper is to show how a sequence of elementary morphological filtering operations can lead to the correction of the stripping effect present on some level 1B SPOT images. The basic idea employed is to design the morphological filter using an a priori modeling of the stripes. The overall algorithm is divided in three steps. A binary image showing the high frequencies in the vertical direction is first obtained. Another binary image is then deduced which indicates the location of the stripes. Finally, the corrected image is obtained by morphological interpolation at the stripe location. The effect of each processing step is illustrated from an original image of the Porto Alegre city, south of Brazil, corrupted by the stripes.

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