An Efficient and Adaptive Approach for Noise Filtering of SAR Interferometric Phase Images

Wang, Qingsong; Huang, Haifeng; Yu, Aiping; Dong, Zhen

doi:10.1109/lgrs.2011.2158289

Cited by 30 publications

(19 citation statements)

References 13 publications

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“…To reduce the decorrelation noise in single InSAR interferograms, several noise-filtering methods have been developed over the last three decades [12,57,[62][63][64]. More recently, some new hybrid multi-temporal InSAR noise-filtering approaches, based on the joint exploitation of sequences of InSAR interferograms, have also been proposed [65][66][67][68].…”

Section: Noise Signals Corrupting Sar Interferogramsmentioning

confidence: 99%

A Review of Interferometric Synthetic Aperture RADAR (InSAR) Multi-Track Approaches for the Retrieval of Earth’s Surface Displacements

2017

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Synthetic Aperture RADAR Interferometry (InSAR) provides a unique tool for the quantitative measurement of the Earth's surface deformations induced by a variety of natural (such as volcanic eruptions, landslides and earthquakes) and anthropogenic (e.g., ground-water extraction in highly-urbanized areas, deterioration of buildings and public facilities) processes. In this framework, use of InSAR technology makes it possible the long-term monitoring of surface deformations and the analysis of relevant geodynamic phenomena. This review paper provides readers with a general overview of the InSAR principles and the recent development of the advanced multi-track InSAR combination methodologies, which allow to discriminate the 3-D components of deformation processes and to follow their temporal evolution. The increasing availability of SAR data collected by complementary illumination angles and from different RADAR instruments, which operate in various bands of the microwave spectrum (X-, L-and C-band), makes the use of multi-track/multi-satellite InSAR techniques very promising for the characterization of deformation patterns. A few case studies will be presented, with a particular focus on the recently proposed multi-track InSAR method known as the Minimum Acceleration (MinA) combination approach. The presented results evidence the validity and the relevance of the investigated InSAR approaches for geospatial analyses.

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Section: Noise Signals Corrupting Sar Interferogramsmentioning

confidence: 99%

A Review of Interferometric Synthetic Aperture RADAR (InSAR) Multi-Track Approaches for the Retrieval of Earth’s Surface Displacements

2017

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“…Wu et al 18 improved upon the Lee filter method: the tangent direction of the fringe is obtained via local frequency estimation, then a directional filter window is then constructed. 23, which shows a better efficiency for the phase images with tightly packed fringes or low coherence. 19, which shows a better performance in some situations.…”

Section: Introductionmentioning

confidence: 99%

Adaptive contoured correlation interferometry and its application to differential synthetic aperture radar interferometry

Long

et al. 2014

J. Appl. Remote Sens

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Synthetic aperture radar interferometry (InSAR) is a rapidly developing technique for earth observation. Differential InSAR (D-InSAR) technique, based on InSAR, is a method for earthquake deformation detection and land subsidence monitoring. A method of generation of interferogram for D-InSAR using adaptive contoured correlation interferometry is presented, which may directly generate an interferogram with almost no speckle noise or blurring. The data processing results of the Mani earthquake indicate that the proposed method can effectively reduce decorrelation noise, even in areas with serious decorrelation.

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“…Based on this, Li et al [13] improved filtering parameters, and the parameters depend on interferometric coherence and number of looks of the interferogram. Wang et al [14] presented an efficient denoising approach based on the assumption that the true phase is composed of principal phase components and residual phase components, and the filter equals to three common filters by varying the bound parameter to three different values.…”

Section: Introductionmentioning

confidence: 99%

SAR Interferogram Filtering of Shearlet Domain Based on Interferometric Phase Statistics

Zhu

et al. 2017

Applied Sciences

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This paper presents a new filtering approach for Synthetic Aperture Radar (SAR) interferometric phase noise reduction in the shearlet domain, depending on the coherent statistical characteristics. Shearlets provide a multidirectional and multiscale decomposition that have advantages over wavelet filtering methods when dealing with noisy phase fringes. Phase noise in SAR interferograms is directly related to the interferometric coherence and the look number of the interferogram. Therefore, an optimal interferogram filter should incorporate information from both of them. The proposed method combines the phase noise standard deviation with the shearlet transform. Experimental results show that the proposed method can reduce the interferogram noise while maintaining the spatial resolution, especially in areas with low coherence.

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An Efficient and Adaptive Approach for Noise Filtering of SAR Interferometric Phase Images

Cited by 30 publications

References 13 publications

A Review of Interferometric Synthetic Aperture RADAR (InSAR) Multi-Track Approaches for the Retrieval of Earth’s Surface Displacements

A Review of Interferometric Synthetic Aperture RADAR (InSAR) Multi-Track Approaches for the Retrieval of Earth’s Surface Displacements

Adaptive contoured correlation interferometry and its application to differential synthetic aperture radar interferometry

SAR Interferogram Filtering of Shearlet Domain Based on Interferometric Phase Statistics

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