基于灰度形态学的高分辨率遥感影像预处理

The Pre-processing of High-resolution Remote Sensing Image on Grey Morphology

提出了一种从高分辨率遥感影像中提取线性目标时影像预处理的方法。该方法基于灰度形态学的Top Hat运算和灰度膨胀运算,用Top Hat算子除去影像的噪声,再利用灰度膨胀增强影像目标和背景之间的对比度,使目标更易于识别。经过处理的遥感影像,能够更有效地提取影像的目标。

This paper develops an approach to pre-process high-resolution remote sensing image that is used to extract linear target. The approach is based on the gray morphological Top-Hat operation and dilation operation. First, the noise of a remote sensing image is removed by Top-Hat operation. Then dilation operation is used to enhance the difference of targets with the background of the image. So the target of image can be extracted easier by the pre-processing approach developed in this paper.