遥感图像薄云去除方法及IDL的实现研究

Research on the haze removal method of remote sensing images and the implementation of IDL

云噪声的干扰,严重影响了遥感图像的解译与信息提取。本文从遥感图像的成像机理出发,使用同态滤波算法,采用IDL二次开发语言并集成到ENVI平台上,实现了遥感图像薄云的自动化检测与去除。实验证明,该过程能够有效地去除薄云,提高在传统方法中图像预处理的效率,在一定程度上提高了图像的质量与精度。

The interference of the cloud noise affects seriously the interpretation and information extraction of remote sensing images.Based on the imaging mechanism,according to homomorphic filtering algorithm,by using IDL redeveloped-language and integrating it to the ENVI platform,this paper implemented automatic detection and removal of haze in remote sensing images.Experimental results showed that this process could effectively remove the haze and efficiently improve the traditional methods of images＇ pre-processing.In addition,it is improved the quality and precision of the images greatly.