An event-driven dynamic updating method for 3D geo-databases

Figures & data

Figure 1. Conception model of event-driven 3D geo-database updating.

Figure 2. Event-class expression of 3D geo-database.

Figure 3. 3D geo-database dynamic updating process.

Figure 4. Flowchart of adaptive matching and change detection.

Figure 5. Data dynamic updating module.

Figure 6. Comparison between original data and updated data: (a) original data; (b) updated data.

Table 1. Automatic matching and detection of data change.

Original data	Updated data	Update type	Triggered event
		At the same location, the geometric models, texture, and attribute data of the 3D feature object change	City-land updating
		At the same location, the geometric models of the 3D feature object do not change, while the texture and attribute data change	Building renovation

Table 2. Detection test results of 3D city model data changes.

Test data	Amount of update required 3D special objects	Amount of changed 3D special objects	Amount of detected changes	Success matching rate (%)
Updating Data Area 1	1328	102	92	91.2
Updating Data Area 2	865	58	54	93.1
Updating Data Area 3	1130	71	66	92.9

Figure 7. 3D city platform based on EDSM and proposed updating method.