Optimal Frequency Ratio Design Method for Multifrequency Phase Unwrapping of UAV InSAR-Reference-Cited by-同舟云学术

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Optimal Frequency Ratio Design Method for Multifrequency Phase Unwrapping of UAV InSAR

Published:2023 Issue: Volume:61 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Xie Xin¹^ORCID,Deng Yunkai²^ORCID,Tian Weiming³^ORCID,Duan Yan⁴,Liu Fuqiang¹

Affiliation:

1. Radar Research Laboratory, School of Information and Electronics, Beijing Institute of Technology, Beijing, China

2. Advanced Technology Research Institute, Beijing Institute of Technology, Jinan, China

3. Chongqing Innovation Center, Beijing Institute of Technology, Chongqing, China

4. Beijing Key Laboratory of Embedded Real-time Information Processing Technology, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Institute of Technology Research Fund Program for Young Scholars

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10288554.pdf?arnumber=10288554

Reference36 articles.

1. InSAR Phase Unwrapping Based on Square-Root Cubature Kalman Filter

2. Airborne DInSAR Results Using Time-Domain Backprojection Algorithm: A Case Study Over the Slumgullion Landslide in Colorado With Validation Using Spaceborne SAR, Airborne LiDAR, and Ground-Based Observations

3. Algebraic Phase Unwrapping Based on Two-Dimensional Spline Smoothing Over Triangles

4. Optimal Baseline Design for Multibaseline InSAR Phase Unwrapping

5. Polynomial Phase Estimation by Least Squares Phase Unwrapping

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Coherence Analysis and Interferometric Measurement of P-Band Repeat Pass UAV InSAR;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

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