摘要
遥感影像中的不均匀现象是遥感影像处理中要解决的一个重要问题。现有的遥感影像不均匀性校正方法通常都是针对亮度不均匀进行处理的,对于反差不均匀性校正并没有好的解决方案。针对遥感影像中同时存在亮度、反差不均匀的情况,提出了一种基于LRM均值-方差规定化的不均匀校正算法。该方法以LRM影像分块处理为基础,结合影像均值-方差规定化原理,对遥感影像进行处理。实验证明,该方法不仅能够校正亮度不均匀现象,而且对于反差不均匀现象也有很好地校正作用,能够达到整体影像的亮度、反差一致性,获得更加清晰的影像。
The uneven illumination of remote sensing image is an important problem in image processing. The existing unevenness correction methods can correct uneven illumination, but cannot solve the problem of uneven contrast. A new unevenness correction method based on LRM（Local Range Modification） mean-variance specification for remote sensing image was proposed for uneven illumination and contrast in a image. This method processes image based on LRM theory of partition image into adjacent blocks and mean-variance standardization principle. The experiment showed that the proposed method can improve not only uneven illumination phenomenon but also uneven contrast phenomenon. The whole image can reach illumination and contrast consistency.
出处
《测绘科学技术学报》
北大核心
2010年第2期105-108,共4页
Journal of Geomatics Science and Technology
关键词
遥感影像
不均匀现象
LRM原理
影像分块
均值-方差规定化
亮度一致性
反差一致性
remote sensing image
uneveness phenomena
LRM theory
image partition
mean-variance standardization
illumination consistency
contrast consistency
