Automatic removal method for redundant data between air strips of airborne laser radar

Abstract

The invention discloses an automatic removal method for redundant data between air strips of an airborne laser radar. The automatic removal method includes the following steps: a first step is gridding processing, wherein a data processor is used for dividing point cloud data to be processed into grids so as to enable the point cloud data to be divided into multiple square grids with the same dimensions; a second step is determination of the air strips where all laser foot points belong; a third step is redundant data extraction, wherein the number of the laser foot points contained in each square grid of the grids and the air strips where all the laser foot points belong are judged, and all redundant data square grids are searched out from the grids; and a fourth step is redundant data processing, wherein the data processor is used, a redundant data elimination module or a redundant data marking module is invoked, and all the searched out redundant data square grids are subjected to the redundant data processing. The automatic removal method for the redundant data between the air strips of the airborne laser radar is simple in procedure, reasonable in design, convenient to realize, simple and convenient to use and operate, good in using effect, and capable of automatically and effectively detecting and eliminating the redundant data in the point cloud data of the airborne laser radar.

Description

technical field [0001] The invention belongs to the technical field of airborne laser radar measurement, and in particular relates to a method for automatically removing redundant data between flight belts of airborne laser radar. Background technique [0002] Airborne LiDAR (LiDAR) is a new measurement technology developed around the 1990s. This technology integrates laser ranging, global positioning system (GPS) and inertial navigation system (INS) into one, and adopts active detection to quickly obtain high-precision, high-density three-dimensional coordinate information on the earth's surface. In the actual measurement, the high-precision three-dimensional spatial coordinate information contained in the point cloud data obtained by the airborne laser radar (LiDAR) can accurately show the surface spatial characteristics of the scanned object, which is the basis of various surveying and mapping applications. It is also of great significance in geospatial information resea...

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Problems solved by technology

[0004] At present, there are few researches on the solution to this problem at home and abroad. The only existing commercial LiDAR data processing software, TerraSolid, includes a point cloud redundancy elimination module (Cut overlap), but because it is a commercial software, its related methods are all private

However, according to TerraSolid's redundant operation, it can be judged that its redundant algorithm depends on the algorithm of the track file in a specific format. If the track file is not added, the redundant operation cannot be performed, and the format of the track file is non-public.

Thus, the above method has certain limitations

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