为了高可靠性地提取星载云/气溶胶激光雷达层次信息, 设计了一种基于直方图统计的层次分类方法。对这种方法进行了理论分析。结果表明, 该方法应用于不同特征的数据, 均能准确、高可靠性地查找出云/气溶胶的层次信息。该方法避免了目前层次查找方法对数据特征的约束, 是一种高可靠性、适用范围广的层次查找算法。

In order to extract the layer for space-borne cloud/aerosol lidar reliably, a layer classification method based on histogram statistics was proposed. This method was analyzed theoretically. The experimental results show that the cloud/aerosol layer can be extracted reliably in different situations with this method. Compared with the current layer detection method, the new method can avoid the constraint for data feature. It is a highly-reliable and widely-applicable layer detection method.