LANet: Lightweight Attention-Mamba Network for Semantic Segmentation of High-Resolution Remote Sensing Images

Balancing long-range dependencies and efficiency is crucial for remote sensing segmentation. While State Space Models (SSMs) offer linear complexity, they often struggle with local details. To address this, we propose the Lightweight Attention-Mamba Network (LANet). It incorporates an Attention-Guided State Space Module (AG-SSM) to transform indiscriminate scanning into selective refinement of salient features, and a Difference-Aware Gated Fusion (DAGF) module for effective multi-scale integrati