Demand analysis and technical route for drone 1:1000 aerial survey rare control solution

August 23, 2021

At present, UAV aerial photogrammetry is widely used in rural land confirmation, power line inspection, highway and railway engineering surveys. The large-scale aerial photogrammetry industry mainly follows the specification: GB/T 7930-2008 "1:500 1:1000 1:2000 topographic map aerial photogrammetry internal industry specification"; GB/T 23236-2009 "Digital photogrammetry aerial triangle Measurement Specifications. However, due to the large number of types/types of UAV aerial survey equipment and the complicated flight results, especially the degree of overlap, it is difficult to give clear guidance similar to the two specifications of the national 2008 and 2009. This leads to the following problems in the large-scale UAV aerial survey at this stage: the unreasonable layout of the control points leads to low precision; or the large number of image control points are arranged to meet the accuracy requirements, resulting in huge workload and inefficiency; The software has a low success rate and high level of manual intervention.

UAV 1:1000 aerial survey rare control solution

This technical solution is to solve the above problems in 1:1000 aerial photogrammetry. It aims to reduce the workload of internal and external industries under the premise of ensuring the high precision of aerial triangulation with a rare control point scheme, and finally generate numbers in line with national standards. Line drawing and digital orthophotos and other achievements.

Software and hardware equipment required for the solution

Solution process

Technical route

1 camera distortion parameters

Camera calibration is mainly to obtain accurate internal orientation elements and distortion parameters.
The inner orientation element includes a principal distance f and a principal point offset x0, y0. The results directly determine the internal orientation accuracy.

The distortion parameters include: 3 radial distortion coefficients k1, k2, k3, 2 tangential distortion coefficients p1, p2, a non-square proportional coefficient a, and a non-orthogonal scale coefficient b. The main factors that can affect the change of distortion parameters are: temperature and humidity, artificial disassembly, and severe collision. The distortion of the digital camera can not be ignored. If the obtained distortion parameters are inaccurate, it will cause the image point residual to exceed the limit during the empty three-point process. Therefore, obtaining accurate internal orientation elements and distortion parameters is extremely important for the accuracy of the null three-encryption point.

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