GLM-Net: A Mamba-Based Building Extraction Network With Global–Local Feature Collaboration for Remote Sensing Imagery
The automatic extraction of buildings from remote sensing imagery is crucial for urban planning, change detection, and disaster assessment. Existing CNNs struggle to effectively capture global context, while Transformers are constrained by the quadratic computational complexity of self-attention. These limitations resu...