FBSNet: Rethinking Directional Structure Modeling in Remote Sensing Segmentation via Frequency-Band State Space Networks (opens in new tab)

In remote sensing semantic segmentation, man-made objects often exhibit strong directional structures that manifest multifrequency cues ranging from low-frequency contextual layouts to high-frequency boundary details. However, most existing approaches either prioritize spatial-domain modeling or treat frequency cues only as auxiliary enhancements and fusion signals, leaving hierarchical frequency organization and interband dependencies underexplored. To address this, we propose FBSNet, the fi...