Phase unwrapping for large SAR interferograms: statistical segmentation and generalized network models

By Curtis W. Chen, Howard Allan Zebker. IEEE Transactions on Geoscience and Remote Sensing, 2002

775 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Atmospheric Science, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/3f07d33f0db539ed577e68aaa5b81a3c1290d400

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. T. J. Wright
2. Zhihui Yuan
3. A. Hooper
4. Yang Lan
5. Hyongki Lee
6. Yunjun Zhang
7. Junyi Xu
8. Hanwen Yu

In Atmospheric Science

1. A. Hooper
2. Yunjun Zhang
3. T. J. Wright
4. Heresh Fattahi
5. Falk Amelung

In Environmental Engineering

1. Zhihui Yuan
2. A. Hooper
3. Yang Lan
4. Hyongki Lee
5. Yunjun Zhang
6. Junyi Xu
7. Hanwen Yu
8. T. J. Wright

Citations in the corpus

• Small baseline InSAR time series analysis: Unwrapping error correction and noise reduction (2019, background): “This is similar to region assembly in the secondary network in phase unwrapping (Carballo and Fieguth, 2002; Chen and Zebker, 2002), but in the tertiary level.”
• LiCSBAS: An Open-Source InSAR Time Series Analysis Package Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor (2020, methodology): “LiCSAR unwraps the phase in two dimensions using a statistical cost approach with the SNAPHU software [35,36].”
• Phase Unwrapping in InSAR : A Review (2019, methodology): “A PU experiment of the LS SNAPHU method in [105] and the GAMMA LS MCF method in [26] will be used to better explain the characteristics of the first group of methods.”