The paper proposes the first spiking neural network framework for SAR phase unwrapping, with encoding schemes, an architecture, and theoretical complexity and convergence claims, but no experiments.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NE 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing
The paper proposes the first spiking neural network framework for SAR phase unwrapping, with encoding schemes, an architecture, and theoretical complexity and convergence claims, but no experiments.