MeCSAFNet uses dual ConvNeXt encoders for visible and non-visible channels in multispectral land cover segmentation. It employs smooth attentional feature fusion with CBAM and ASAU activation. Outperforms baselines like U-Net and SegFormer by up to 19% mIoU on FBP and Potsdam datasets.
Key Points
- 1.Multi-branch encoder-decoder architecture
- 2.Multi-scale fusion with attention
- 3.Compact variants for efficiency
Impact Analysis
Significant gains enable deployment in resource-constrained environments. Supports varied spectral inputs for broader applications.
Technical Details
Handles 4c (RGB+NIR) and 6c (NDVI+NDWI) inputs. ASAU ensures stable optimization.