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本文在借鉴遥感影像云雾去除相关研究基础上,提出了一种自适应滤波和非线性灰度变换的高分辨率遥感影像薄云雾消除方法,并与现有的几种效果较好的去云雾方法进行了对比研究。结果表明,本文提出的方法不仅能够有效降低薄云雾遮挡干扰影响,而且可以很好地保持原始影像真实的光谱特性,同时针对不同波段地物光谱特性做相应的灰度变换和融合处理,能够在很大程度上减少遥感影像的细节信息的丢失和保持图像的清晰度,是一种有效去除薄云雾覆盖的方法。
In this paper, based on the research of cloud removal in remote sensing images, this paper proposes a method to eliminate the cloud of high-resolution remote sensing images with adaptive filtering and non-linear gray transform. Compared with the existing methods of cloud removal, Conducted a comparative study. The results show that the method proposed in this paper can not only effectively reduce the influence of shadowing interference in thin clouds, but also maintain the true spectral characteristics of the original image well. At the same time, the corresponding spectral transformation and fusion of spectral features in different bands can be done. It greatly reduces the loss of detail information of remote sensing image and maintains the clarity of the image. It is an effective method to remove the thin cloud cover.