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SAIP-Net: Enhancing Remote Sensing Image Segmentation via Spectral Adaptive Information Propagation

arXiv 2504.16564 ↗First posted 23 Apr 2025cs.CV cs.GRcited by 0

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Abstract (arXiv)

Semantic segmentation of remote sensing imagery demands precise spatial boundaries and robust intra-class consistency, challenging conventional hierarchical models. To address limitations arising from spatial domain feature fusion and insufficient receptive fields, this paper introduces SAIP-Net, a novel frequency-aware segmentation framework that leverages Spectral Adaptive Information Propagation. SAIP-Net employs adaptive frequency filtering and multi-scale receptive field enhancement to effectively suppress intra-class feature inconsistencies and sharpen boundary lines. Comprehensive experiments demonstrate significant performance improvements over state-of-the-art methods, highlighting the effectiveness of spectral-adaptive strategies combined with expanded receptive fields for remote sensing image segmentation.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 27 of its 44 references that are in the map. First posted on arXiv 23 Apr 2025.

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27 of 44 references.

References · 27

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15 more
  1. 2021LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentationcited by 261
  2. 2019Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relationscited by 247
  3. 2021Coordinate Attention for Efficient Mobile Network Designcited by 241
  4. 2021UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagerycited by 167
  5. 2019CARAFE: Content-Aware ReAssembly of FEaturescited by 119
  6. 2022An Empirical Study of Remote Sensing Pretrainingcited by 105
  7. 2021A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Imagescited by 56
  8. 2024Frequency-aware Feature Fusion for Dense Image Predictioncited by 48
  9. 2024LSKNet: A Foundation Lightweight Backbone for Remote Sensingcited by 44
  10. 2024Frequency-Adaptive Dilated Convolution for Semantic Segmentationcited by 34
  11. 2021PointFlow: Flowing Semantics Through Points for Aerial Image Segmentationcited by 29
  12. 2022FsaNet: Frequency Self-attention for Semantic Segmentationcited by 10
  13. 2024LOGCAN++: Adaptive Local-global class-aware network for semantic segmentation of remote sensing imagerycited by 7
  14. 2020Spatial--spectral FFPNet: Attention-Based Pyramid Network for Segmentation and Classification of Remote Sensing Imagescited by 2
  15. 2024AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic Segmentationcited by 1

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