Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (12): 186-192.DOI: 10.3778/j.issn.1002-8331.2004-0114

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Remote Sensing Water Image Enhancement Using Adaptive Morphology

WANG Xiaopeng, YANG Wenting, WEN Haotian   

  1. School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
  • Online:2021-06-15 Published:2021-06-10



  1. 兰州交通大学 电子与信息工程学院,兰州 730070


Remote sensing water image usually contain complex information, in order to facilitate subsequent water region analysis, it is necessary to filter out the noise interference outside water regions, and enhance the low contrast image while preserve the edge of the water regions. A logarithmic enhancement method for remote sensing water image using morphological with adaptive elliptical structure elements is proposed. The linear structure tensor is used to estimate the eigenvalue and eigenvector of the image, and the adaptive elliptical structuring elements are established to keep the edge of the water regions unchanged. Adaptive morphological dilation and erosion are defined on the basis of adaptive elliptical structuring elements, and morphological opening and closing are reconstructed. An adaptive morphological operation is used to construct a logarithmic enhancement operation to filter out the noise in the target area and enhance the remote sensing water image. The experimental results show that compared with traditional and other adaptive morphological enhancement methods, this method not only can filter out noise interference from the target, enhance the water area, but also can preserve the edge position and shape of the water edge, and improve the contrast and information entropy.

Key words: adaptive morphology, image enhancement, elliptical structuring element, remote sensing image



关键词: 自适应形态学, 图像增强, 椭圆结构元素, 遥感图像