Urban growth simulation form correction method and system based on grid-vector cooperation
By employing a raster-vector collaborative urban growth simulation method, which combines remote sensing imagery and vector road data to form fused spatial units and utilizes morphological correction strategies to optimize the proportion of urban land area, the method solves the balance problem between computational efficiency and morphological realism in traditional CA models, and achieves more accurate urban growth simulation.
Patent Information
- Application Number
- CN202610051910.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-15
- Publication Date
- 2026-05-05
AI Technical Summary
In existing technologies, traditional raster CA models have high computational efficiency but the simulation results are coarse and cannot accurately reflect real geographic elements; vector CA models rely on a single data source, resulting in insufficient data timeliness and precision, increased computational load, and difficulty in achieving a balance between computational efficiency, process rationality, and morphological realism.
A raster-vector collaborative urban growth simulation method is adopted. By segmenting remote sensing image data and processing vector road data to form fused spatial units, the raster CA simulation results are corrected by combining morphological correction strategies. Static and dynamic correction strategies are used to optimize the proportion of urban land area, thereby achieving accuracy and morphological realism in urban growth simulation.
It improves the precision of spatial unit division and the reliability of simulation results, achieves a balance between computational efficiency and morphological realism, and forms a two-layer structure of simulation calculation layer and morphological control layer, thereby improving simulation and correction efficiency.