AI RESEARCH
Axial-Relation Guided Fusion State Space Model for Optical-Elevation Sensing Image Segmentation
arXiv CS.CV
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ArXi:2605.16768v1 Announce Type: new Semantic segmentation of multi-source remote sensing images is a fundamental task for Earth observation applications. Existing methods often struggle with insufficient multi-scale context modeling and suboptimal cross-modal feature fusion, limiting their performance in complex high-resolution scenes. To this end, we propose Axial-Relation Guided Fusion Mamba (ARG-Mamba), a state space model-based framework for optical-elevation remote sensing image segmentation. Specifically, we.