The Flow of Data Processing

Dec 06, 2022

The Flow of Data Processing

In order to obtain real 3D results and applications, the multi-source original data obtained through aerial photography need to use software such as 3ds Max, PhotoShop, and etc. for image correction, real 3D model production, 3D model monomer and other data processing. In the process of 3D model data processing and production, it is mainly divided into two parts: point cloud data processing and oblique image data processing.

● Point cloud data processing

The original airborne point cloud data is transformed into coordinates and corrected by splicing flight belts, and the point cloud data in LAS format is derived eventually. Check and classify the point cloud data, the DEM results are generated from the ground point cloud, so as to build the monomer real 3D white model.

Figure1: Point cloud data processing

● Oblique Image Data Processing

Firstly, the original data is processed by traditional aerial triangulation, integrate DEM which made by point cloud and produce DOM. 

Furthermore, after data spatial triangulation is encrypted, all laser point cloud data are introduced to correct spatial triangulation results of low-overlap oblique data to produce grid 3D model.

Lastly, introduce the structure classification laser point cloud data and white model data , and the matching algorithm is used to automatically collect the model texture from the oblique image, and a monomerized 3D realistic model is produced.

Geospatial Analysis Work Flow 

1. Review the conceptual site model (CSM) and project goals.

2. Perform exploratory data analysis (EDA).

3. Choose the geospatial method.

4. Build geospatial model.

5. Check that the model produces reasonable results.

6. Generate geospatial results.

7. Use results in optimization.

If you still have any questions on the flow of geospatial data processing, please contact us at any time for further guidance.