一种基于自适应高提升滤波的遥感影像的阴影处理方法  

A Shadow Image Pre-processing Method Based on Adaptive High-boost Filtering

作　　者：滕秀花[1] 胡文瑜[1] 林志强[1] 

机构地区：[1]福建工程学院

出　　处：《哈尔滨师范大学自然科学学报》2015年第4期69-72,共4页Natural Science Journal of Harbin Normal University

基　　金：福建省自然科学基金项目(2012J1245);福建省教育厅科研项目(GY-Z13092)

摘　　要：利用遥感影像的颜色特性,基于亮度的阈值检测方法,将阴影区和光照区进行分割;通过高提升滤波方法对阴影区域进行补偿处理.实验证明,对分割出的遥感影像的阴影区域进行补偿处理后,区域内形状信息更加明显.经如上方法预处理后,明显提高了遥感图像超块分割的精确度,进而提高目标物体提取的精度.According to the color - property of the shadows, a new shadow image processing method is proposed in this paper, it splits the shadow and bright area by the threshold of brightness, and sharpen shadow regions based on the high- boost filtering. Experimental results show that the shadow detection and processing method proposed can generate the accurate and continuous shadow areas, and the pre - processing of the image hizhlv improves the precision of the sezmentation of the remote sensinz imaze.

关 键 词：阴影区域 阈值检测 高提升滤波 

分 类 号：U495[交通运输工程—交通运输规划与管理]