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Weakly supervised semantic change detection in street view imagery and its application in urban renewal dynamics mapping
- “Street view images are a new type of geographic big data used to perceive the physical environment of cities. This article introduces its research progress in the field of urban renewal monitoring. The research team has established a dual branch cross fusion model Cross-C2PO and explored the collaborative implementation of binary change detection and temporal decomposition under weak supervision. This provides a solution to the problem of identifying the temporal ownership of objects in street view changes and lays the foundation for the construction of urban renewal monitoring systems.”
- Vol. 30, Issue 10, Pages: 2961-2977(2026)
DOI:10.11834/jrs.20255171
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