SoDa² is a single-stage framework with decoupled spectral-spatial alignment and GMM-based open-set recognition that outperforms prior methods on cross-scene HSI classification tasks.
Early detection of pine wilt disease by combining pigment and moisture content indices using uav-based hyperspectral imagery,
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SoDa2: Single-Stage Open-Set Domain Adaptation via Decoupled Alignment for Cross-Scene Hyperspectral Image Classification
SoDa² is a single-stage framework with decoupled spectral-spatial alignment and GMM-based open-set recognition that outperforms prior methods on cross-scene HSI classification tasks.