A Novel Two-Stage Learning-Based Phase Unwrapping Algorithm via Multimodel Fusion

A Novel Two-Stage Learning-Based Phase Unwrapping Algorithm via Multimodel Fusion

Phase unwrapping (PhU) is one of the key steps in interferometric synthetic aperture radar (InSAR) data processing, and it is a considerable challenge for PhU in regions with high-noise and large-gradient changes. Deep learning phase unwrapping (DLPU) can better solve this problem. However, a single...

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Bibliographic Details
Main Authors: Chao Yan, Tao Li, Yandong Gao, Shijin Li, Xiang Zhang, Xuefei Zhang, Di Zhang, Huiqin Liu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep learning (DL)
interferometric synthetic aperture radar (INSAR)
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phase unwrapping (PhU)
Online Access:https://ieeexplore.ieee.org/document/10884057/
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