http://www.gissky.net- GIS空间站

云雾覆盖是光学遥感影像的主要噪声之一,它严重影响了遥感影像的判读和使用。如何降低或去除薄云的影响,恢复云下地表信息,成为提高遥感影像可用性的重要环节。本文分析了环境卫星CCD影像的特点,基于BSHTI(Background Suppressed Haze Thickness Index)云检测方法,对BSHTI方法进行了适应性改进和完善。通过目视评价和统计分析,表明该方法不仅能够有效地降低薄云雾的干扰,而且可以在很大程度上减少遥感影像信息的损失,同时较好地保持了原始影像的清晰度和连续性,是一种有效可行的薄云去除方法。 更多还原

【Abstract】 Partial cloud cover is a severe problem in the optical remote sensing image,it seriously affected the interpretation and use of remote sensing images.So how to remove or to reduce haze region from remote sensing image and how to restore the ground information below thin cloud region will become the essential of improving the applications of remote sensing images.This paper analyzes the characteristics of HJ satellite CCD images and based on haze removal method BSHTI(background suppressed haze th... 更多还原