自适应滤波的高分辨率遥感影像薄云去除算法

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。

Thin Cloud Cover Removed from High-Resolution Remote Sensing Images Based on the Adaptive Filtering and Gray-scale Transformation

There are sometimes some uneven thin cloud-fog effects in the remote sensing images from optical remote sensors,especially in cloudy and rainy areas.A new method based on adaptive filtering and gray-scale transformation was proposed to remove the cloud-fog cover of the high-resolution remote sensing images in this paper.This comprehensive technology program was applied to process the SPOT5 image with heavy thin cloud-fog cover acquired from Zhuhai,China.And to test its superiority,a comparative experiment w...