摘要
遥感传感器获取的光学影像中部分区域不可避免存在云遮挡现象。本文选择的实验区位于西昆仑山的古里雅冰帽,将影像上的云区域划分为薄云与厚云,针对Landsat遥感影像进行去云处理方法研究。结果表明:针对Landsat遥感影像,直方图匹配和小波融合两种方法能够有效去除薄云;构建的归一化厚云检测模型能够较好地对厚云进行检测;匹配算法是当前比较有效的厚云处理方法。
Some areas of optical images obtained by remote sensing sensors are inevitably covered by cloud.The experimental area selected in this paper is located in the Guliya Ice Cap in the West Kunlun Mountains.The cloud region on the image is divided into thin clouds and thick clouds,and the cloud removal processing method is studied for Landsat remote sensing images.The results show that:for Landsat remote sensing images,the histogram matching and wavelet fusion can effectively remove thin clouds;the constructed normalized thick cloud detection model can detect thick clouds well;the matching algorithm is currently a more effective method for processing thick clouds.
作者
白媛
施望科
BAI Yuan;SHI Wangke(149th Team of Gansu Coalfield Geological Bureau,Lanzhou 730000,Gansu,China;Gansu Coal Geological Exploration Institute,Lanzhou 730000,Gansu,China)
出处
《资源信息与工程》
2024年第5期36-40,45,共6页
Resource Information and Engineering
基金
甘肃省青年科技基金(24JRRA685)
甘肃省自然资源厅科技项目(202241,202238)。
