一种用于光谱图像的基于邻域背景检测的矢量滤波器

提出了一种通用性强的非线性矢量数字滤波器———基于邻域背景统计的矢量滤波器,该滤波器既可用于光谱图像又可用于灰度图像,具有腐蚀小面积奇异像元的作用,可以消除图像噪声和光谱散点,同时保持原有的光谱信息不变,此外还对图像边缘有一定的锐化作用.文章设计了该滤波器的一种简化实现算法,并给出了航空高光谱图像和彩色图像的处理实例,实验结果显示该滤波器滤波效果良好,对光谱图像的噪声消除和边缘检测都有很大帮助.

NEW VECTOR FILTER BASED ON BACKGROUND DETECTION USED IN SPECTRAL IMAGES

A kind of universal nonlinear vector filter,i.e.,a vector filter based on neighbour-background-detection,was presented.The filter can be used not only in gray images,but also in spectral images,and it can keep the spectral information unchanged during erasing noise and small areas of odd spectral.At the same time it can sharpen the edge of the images in some extension.A practicable algorithm was designed to realize the filter.The experiments on two real remote sensing images show that the filter is helpful for the edge detecting and noise erasing.