Cross-Modal 2D-3D Change Detection Method Proposed for Urban Monitoring
arXiv paper 2605.07151 introduces DPG-CD, a depth-prior-guided cross-modal joint 2D-3D change detection method. The approach addresses urban spatial evolution by combining pre-event Digital Surface Model (DSM) data with post-event imagery to detect both 2D semantic and 3D height changes. This cross-modal input is practical for high-frequency urban monitoring, disaster assessment, and emergency response, as 3D observations are costly and infrequent. The method tackles spectral-geometric representation gaps between imagery and DSM, and distinguishes modality differences from actual changes.
Key facts
- DPG-CD is a depth-prior-guided cross-modal joint 2D-3D change detection method.
- The method uses pre-event DSM and post-event imagery as input.
- It jointly captures 2D semantic changes and 3D height changes.
- The approach is designed for urban morphology analysis and emergency management.
- Collecting 3D observations is constrained by high acquisition costs.
- The cross-modal setting addresses spectral-geometric representation gaps.
- Modality differences may be confused with actual changes.
- The paper is published on arXiv with ID 2605.07151.
Entities
Institutions
- arXiv