AI RESEARCH
Foundation Model-Driven Semantic Change Detection in Remote Sensing Imagery
arXiv CS.CV
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ArXi:2602.13780v2 Announce Type: replace Remote sensing (RS) change detection is essential for interpreting surface dynamics. Semantic change detection (SCD) further enables pixel-level understanding of multi-class transitions, yet remains sensitive to pseudo-changes induced by imaging conditions. Recent RS foundation models extract semantically consistent features across temporal and environmental variations, which is critical for mitigating pseudo-changes.