AI RESEARCH
OmniCD: A Foundational Framework for Remote Sensing Image Change Detection Guided by Multimodal Semantics
arXiv CS.CV
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ArXi:2605.30168v1 Announce Type: new Change detection (CD) in remote sensing is vital for applications such as urban monitoring and disaster assessment, yet traditional methods struggle with generalization across diverse scenarios. We present OmniCD, a foundational framework that unifies and enhances remote sensing CD through multimodal semantic guidance. OmniCD incorporates image and text prompts -- such as textual descriptions, semantic maps, and geospatial metadata -- into a unified architecture, ing tasks from binary CD to zero-shot semantic change understanding.