PIPNet: A Deep Convolutional Neural Network for Multibaseline InSAR Phase Unwrapping Based on Pure Integer Programming

PIPNet: A Deep Convolutional Neural Network for Multibaseline InSAR Phase Unwrapping Based on Pure Integer Programming

Multibaseline (MB) phase unwrapping (PU), as the core step in MB InSAR, breaks the limitation of phase continuity assumption. However, it still suffers from insufficient noise robustness and low unwrapping efficiency. This article transforms the MB PU problem into pure integer programming (PIP) prob...

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Bibliographic Details
Main Authors: Hui Liu, Ke Zheng, Changwei Miao, Xuemei Liu, Xianlin Liu, Lin Li, Yongguang Zhang, Longhai Xiong
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep convolutional neural network (DCNN)
feature learning
InSAR
phase unwrapping (PU)
pure integer programming (PIP)
Online Access:https://ieeexplore.ieee.org/document/11031220/
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