November 17, 2025Remote SensingOpen Access

SF3Net: Frequency-Domain Enhanced Segmentation Network for High-Resolution Remote Sensing Imagery

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Authors

YHYi He LZLu Zhenyu HHHai Huan

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Implication

Analysis shows improved semantic segmentation efficiency in high-resolution remote sensing, indicating frequency-domain information enhances performance.

Key Points

Achieving 88.657% mIoU on farmland dataset highlights SF3Net's superior segmentation accuracy.
Demonstrates effectiveness with mean Intersection-over-Union scores exceeding 80% on ISPRS datasets.
Spatial-Frequency Feature Fusion Network leverages both spatial features and frequency-domain data for better results.
This efficient framework may reshape approaches by integrating frequency-domain information into remote sensing analysis.

Cite This Study

He et al. (2025) studied this question.

synapsesocial.com/papers/692509f6c0ce034ddc352d73 https://doi.org/10.3390/rs17223734

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Implication

Analysis shows improved semantic segmentation efficiency in high-resolution remote sensing, indicating frequency-domain information enhances performance.