A Linear Attention Framework with Dual-Axis Multi-Scale Fusion for Fine-Grained Eucalyptus Change Detection
This study proposes MLLAForestCD, a three-class pixel-level semantic change-detection network for Eucalyptus plantations, which uses an MLLA encoder to model the long-range spatial context with efficient linear attention, while a dual-axis change extractor reorganizes paired bi-temporal features through complementary l...