摘要
在多雨多雾地区,GeoEye-1卫星获取遥感图像时常受到雾霾的影响。由于雾霾对电磁波有吸收、折射、反射和散射作用,导致遥感图像清晰度降低。因此,尽可能地消除雾霾对图像的影响,才能有效地提高遥感图像的质量。利用ENVI软件作为图像处理平台,分别选取了国内外常用的"同态滤波"、"小波变换"和本文提出的"波段计算组合"3种去雾霾方法对GeoEye-1图像进行去雾霾处理效果的研究对比。结果表明,利用"波段计算组合"方法去除GeoEye-1图像中的雾霾有很好的效果。
In the rainy and foggy areas, the images acquired by GeoEye -1 satellite are often affected by haze. Because of the influence of the absorption, refraction, reflection and scattering role of the haze on the electromagnetic waves, the image clarity is decreased. Therefore, it is necessary to eliminate the impact of the haze on the image as much as possible so as to effectively improve the quality of images. Using ENVI software as an image processing platform, the authors selected the ＂homomorphic filtering＂ and ＂wavelet transform＂ methods commonly used in China and abroad and the ＂band calculation composition＂ method proposed in this paper to make a comparative study of the effects of haze elimination for the GeoEye - 1 image. The results show that the use of ＂band calculation composition＂ to remove the haze from GeoEye - 1 image has a good effect.
出处
《国土资源遥感》
CSCD
北大核心
2012年第3期50-53,共4页
Remote Sensing for Land & Resources
基金
中国地质调查局国土资源大调查项目(编号:1212010785011)资助
