The invention discloses a
compression method of airborne high-density
laser point clouds, a storage device and a
laser radar. The
compression method includes the following steps that: spatial indexes are established for discretely distributed
point cloud data by using a preset indexing mode; the
spatial distribution features of the point clouds of a specific area are obtained through the related theory of a discrete surface, the local surface features of the
laser point clouds are calculated; on the basis of data features required by a specific application, a certain quantity of point clouds containing the data features are extracted and reserved, and the point clouds containing the data features are adopted as global features; compression algorithms which are matched with the requirements of the application are screened out from universally applied discrete data down-sampling algorithms, and the compression algorithms are improved so as to be applied to the compression of dense
point cloud data; and the selection and design of the compression algorithms are guided by means of
point cloud compression
algorithm evaluation. According to the
compression method of the airborne high-density laser point clouds, the storage device and the laser
radar of the invention, an efficient hierarchical segmentation
algorithm is adopted, and a large number of dense point clouds are rapidly compressed through using a strategy of reserving boundary points, and therefore, the fast and efficient compression of high-density three-dimensional laser point
cloud data which retains topographic features is realized.