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Author

Lin-Feng Liu

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Open access 2026

Taylor-Linearized ADMM Deep Unfolding Network With Classification Prior Guidance for Tomographic Inversion of Urban Areas

Tomographic synthetic aperture radar (TomoSAR) is an essential technique for 3-D urban reconstruction. Traditional compressed sensing-based TomoSAR imaging methods provide super-resolution ability but suffer from high computational complexity and empirical parameter tuning. Recently, deep learning networks have improve...

Chun-Hui Li, Shuang Jin, Lin-Feng Liu et al. · 0 citations
Conference 2026

S2NO: Coupling Aliasing-Free Convolutions with Fourier Neural Operators for Multiscale Modeling

This work proposes the Spectral-Spatial Neural Operator, a dual-stream architecture that couples a spectral branch with an aliasing-free convolutional branch that allows the model to capture high-frequency residuals and sharp discontinuities without introducing grid-dependent artifacts.

Lin-Feng Liu · 0 citations

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