AI RESEARCH
Multi-Modal Building Change Detection for Large-Scale Small Changes: Benchmark and Baseline
arXiv CS.CV
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ArXi:2603.19077v1 Announce Type: new Change detection in optical remote sensing imagery is susceptible to illumination fluctuations, seasonal changes, and variations in surface land-cover materials. Relying solely on RGB imagery often produces pseudo-changes and leads to semantic ambiguity in features. Incorporating near-infrared (NIR) information provides heterogeneous physical cues that are complementary to visible light, thereby enhancing the discriminability of building materials and tiny structures while improving detection accuracy.