A New Strategy to Estimate Local Fringe Frequencies for InSAR Phase Noise Reduction

Suo, Zhiyong; Li, Zhenfang; Bao, Zheng

doi:10.1109/lgrs.2010.2047935

Cited by 51 publications

(34 citation statements)

References 16 publications

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“…To this end, the phase noise has been quantified with the phase standard deviation within homogeneous areas. Note that, for this study any residual phase gradient has been subtracted [14] in order to obtain true measurements of the phase standard deviation. This test is performed within the four different areas highlighted in Fig.…”

Section: B Noise Reduction Analysis In Homogeneous Areasmentioning

confidence: 99%

Evaluation of the Multilook Size in Polarimetric Optimization of Differential SAR Interferograms

Mestre-Quereda

López-Sánchez

Ballester-Berman

et al. 2018

IEEE Geosci. Remote Sensing Lett.

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Abstract-The interferometric coherence is a measure of the correlation between two SAR images and constitutes a commonlyused estimator of the phase quality. Its estimation requires a spatial average within a two-dimension window, usually named as multilook. The multilook processing allows to reduce noise at the expenses of a resolution loss. In this work, we analyze the influence of the multilook size while applying a polarimetric optimization of the coherence. The same optimization algorithm has been carried out with different multilook sizes and also with the NL-SAR filter, which has the advantage of preserving the original resolution of the interferogram. Our experiments have been carried out with a single pair of quad-polarimetric RADARSAT-2 images mapping the Mount Etna's volcanic eruption of May 2008. Results obtained with this particular dataset show that the coherence is increased notably with respect to conventional channels when small multilook sizes are employed, especially over low-vegetated areas. Conversely, very decorrelated areas benefit from larger multilook sizes but do not exhibit an additional improvement with the polarimetric optimization.

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Section: B Noise Reduction Analysis In Homogeneous Areasmentioning

confidence: 99%

Evaluation of the Multilook Size in Polarimetric Optimization of Differential SAR Interferograms

Mestre-Quereda

López-Sánchez

Ballester-Berman

et al. 2018

IEEE Geosci. Remote Sensing Lett.

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“…Using a 2-D notation, the complex InSAR phase can be modeled by a first-order approximation (for simplicity, noise is neglected) [13]:…”

Section: Coherence Map Improvement Using Lffmentioning

confidence: 99%

“…According to (9) and (10), the LFF estimates may correspond to the change components that can be obtained by differentiating the interferometric phase directly, a process which is not restricted to the first-order model that is due to the fact that φ(k, l) in (7) includes all the frequencies components ( f xi , f yi ) that exist inside the N-pixel local area [13]. Therefore, the measured interferometric phase is highly influenced by noise.…”

Section: Coherence Map Improvement Using Lffmentioning

confidence: 99%

Change Detection and Classification Using High Resolution SAR Interferometry

Bouaraba¹,

Milisavljević²,

Acheroy³

et al. 2014

Land Applications of Radar Remote Sensing

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“…For ideal interferometric phase without noise, the fringe frequencies between adjacent pixels can be obtained as [15]:…”

Section: Local Fringe Frequency Estimationmentioning

confidence: 99%

“…From (4) and (5), we see that LFF estimates can be obtained by differentiating the interferometric phase directly which is not limited by the first-order model [15]. Therefore, the measured interferometric phase is heavily influenced by noise.…”

Section: Local Fringe Frequency Estimationmentioning

confidence: 99%

Improving CCD Performance by the Use of Local Fringe Frequencies

Bouaraba¹,

Borghys²,

Belhadj-Aissa³

et al. 2012

PIER C

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Abstract-Coherent Change Detection (CCD) using multi-temporal Synthetic Aperture Radar (SAR) is one of the most important applications of remote sensing technology. With the advent of highresolution SAR images, CCD has received a lot of attention. In CCD, the interferometric coherence between two SAR images is evaluated and analyzed to detect surface changes. Unfortunately, the sample coherence estimator is biased, especially for low-coherence values. The consequence of this bias is the apparition of highly coherent pixels inside the changed area. Within this context, the detection performance will considerably degrade, particularly when using high resolution SAR data. In this paper, we propose a new CCD method based on cleaning of coherence inside changed areas, which is characterized by high Local Fringe Frequencies (LFF) values, followed by a space-averaged coherence method. According to the proposed method, the results obtained with Cosmo-SkyMed (CSK) SAR data show an enhancement of change detection performance of about 6% while preserving subtle changes.

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A New Strategy to Estimate Local Fringe Frequencies for InSAR Phase Noise Reduction

Cited by 51 publications

References 16 publications

Evaluation of the Multilook Size in Polarimetric Optimization of Differential SAR Interferograms

Evaluation of the Multilook Size in Polarimetric Optimization of Differential SAR Interferograms

Change Detection and Classification Using High Resolution SAR Interferometry

Improving CCD Performance by the Use of Local Fringe Frequencies

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