Results 171 to 180 of about 4,285,560 (201)

A Two-Stage Deep Learning-Based Phase Unwrapping Error Correction Method

2025 5th International Conference on Mechanical Automation and Electronic Information Engineering (MAEIE)
Traditional phase unwrapping(PU) methods are sensitive to noise and prone to error accumulation. Existing deep learning-based methods still show significant errors in low-coherence or steep terrain regions.
Yihan Lin, Heping Zhong, Jingbo Xiao
semanticscholar   +1 more source

UNet Based Deep Learning for Interferometric SAR Phase Unwrapping

Information and Communication Technology Convergence
Phase Unwrapping (PU) is a fundamental task in Interferometric Synthetic Aperture Radar (InSAR) processing. conventional model-based approaches often struggle in noisy or complex fringe environments.
Jeungwoo Ham, Yifang Shi, Haewoon Nam
semanticscholar   +1 more source

A Comparative Study of Static and Recursive 3D Phase Unwrapping for Deformation Classification

IEEE International Geoscience and Remote Sensing Symposium
Multi-temporal interferometric synthetic aperture radar (MT-InSAR) is a standard tool for mapping large scale deformation with high precision. Since non-linear deformation is more likely to be the potential risk, many pattern recognition methods have ...
Si-Yu Cheng, Feng-Ming Hu
semanticscholar   +1 more source

InSAR-DLPU: A benchmark dataset for deep learning-based synthetic aperture radar interferometry phase unwrapping [Software and Data Sets]

IEEE Geoscience and Remote Sensing Magazine
This article presents a large and diverse benchmark dataset, InSAR-DLPU, consisting of 31,100 pairs of wrapped and absolute phase patches to support deep learning (DL) studies of phase unwrapping (PU) techniques in synthetic aperture radar interferometry
Lifan Zhou, Hanwen Yu
semanticscholar   +1 more source

A Novel Knowledge-Learning Coupling Method for InSAR Phase Unwrapping of Large Surface Displacements in Coal Mining Areas

IEEE Transactions on Geoscience and Remote Sensing
Underground mining activities often lead to large local surface displacements. In this case, the interferometric fringes are dense, the deformation gradient between adjacent pixels tends to exceed $\pi $ , and traditional phase unwrapping (PU) methods ...
Bingqian Chen, Yu Yang, Lipeng Zhang, Z. Li, Changming Zhu, Chen Yu, Chuang Song, Ning-Jie Liu, Zihan Liu   +8 more
semanticscholar   +1 more source

Refined Two-Stage Programming Approach to Multibaseline Phase Unwrapping via Gradient Regularization and Quality-Guided Triangulation

IEEE Geoscience and Remote Sensing Letters
Multibaseline (MB) synthetic aperture radar interferometry (InSAR) is capable of reconstructing steep terrain height profiles, and MB phase unwrapping (PU) is one of the most critical and challenging steps in its processing chain.
Hongxiang Li, Yunkai Deng, Ji-Li Wang, Fuhai Zhao, Yu-Lun Wu, Mingjie Zheng   +5 more
semanticscholar   +1 more source

Spatial-Temporal Phase Unwrapping Method for GB-InSAR Based on Kalman Filter

2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP)
Ground-based interferometric synthetic aperture radar (GB-InSAR) can effectively achieve high-accuracy measurement of surface deformation, which is widely used in the field of landslide monitoring and warning. The accuracy of phase unwrapping (PU) is one
Changjun Wang, Longyue Wang, Xiaoxiao Li, Sen Pang, Zihang Jiang, Yun-Kai Deng   +5 more
semanticscholar   +1 more source

A Robust InSAR U-Shaped Multibaseline Phase Unwrapping Algorithm With Extended Margolus Automata

IEEE Transactions on Geoscience and Remote Sensing
As the core step of multibaseline synthetic aperture radar interferometry (InSAR), multibaseline phase unwrapping (MBPU) always faces noise challenges.
Hui Liu, Shiji Yang, Changwei Miao, Junguo Liu, Xue-Mei Liu, Geshuang Li, Mengyuan Zhu   +6 more
semanticscholar   +1 more source

VLSI Architecture for the Phase Unwrapping Module in Contactless Vibration Sensing for Biomedical Applications

International Symposium on Smart Electronic Systems
Phase-unwrapping (PU) is a critical signal processing step used in fields such as radar, sonar, and laser technology. This paper presents a faster and more efficient VLSI architecture for implementing the phase-unwrapping algorithm on FPGA platforms.
Mujeev Khan, Ashi Singhal, Mohd Wajid, Abhishek Srivastava   +3 more
semanticscholar   +1 more source

Phase unwrapping algorithm based on phase diversity wavefront reconstruction and virtual Hartmann-Shack technology.

Optics Letters
Phase unwrapping (PU) algorithms play a crucial role in various phase measurement techniques. Traditional algorithms cannot work well in strong noise environments, which makes it very difficult to obtain the accurate absolute phase from the noisy wrapped
Ying Zhang, Hua Bao, Nai-Ting Gu, Shuqi Li, Yi-Qun Zhang, Chang-Hui Rao   +5 more
semanticscholar   +1 more source