An interferometric coherence optimization method in radar polarimetry for high-resolution imagery

Colin-Koeniguer, Élise; Titin-Schnaider, C.; Tabbara, W.

doi:10.1109/tgrs.2005.859357

Cited by 96 publications

(57 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As shown later, due to the parallelism between the coherence estimator and the TSC approach, it is possible to extend this method to work with the Best [5], SOM [9], and ESM [10] polarimetric optimization methods.…”

Section: Basis Of Tsc Estimationmentioning

confidence: 99%

“…Nonetheless, this approach does not fully benefits from the potentials of polarimetry. The following methods, referred to as SOM [9] and ESM [10], make use of PolSAR data in a more efficient way.…”

Section: A Bestmentioning

confidence: 99%

“…To overcome this limitation, the method presented in [10] by Colin, is proposed in this work. This approach is based on carrying out an iterative process assuming polarimetric stationarity, i.e., T 11 and T 22 are similar.…”

Section: Sl T Sl T Sl T Sl T Sl Tmentioning

confidence: 99%

“…The objective is to improve the TSC performance in terms of both phase quality and pixels' density. In this framework, the polarimetric optimization methods referred to as Best [5], SubOptimum Scattering Mechanism (SOM) [9], and Equal Scattering Mechanism (ESM) [10] are adapted to work with the TSC approach.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Polarimetric Optimization of Temporal Sublook Coherence for DInSAR Applications

Iglesias

Monells

López-Martínez

et al. 2015

IEEE Geosci. Remote Sensing Lett.

View full text Add to dashboard Cite

Section: Basis Of Tsc Estimationmentioning

confidence: 99%

Section: A Bestmentioning

confidence: 99%

Section: Sl T Sl T Sl T Sl T Sl Tmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Polarimetric Optimization of Temporal Sublook Coherence for DInSAR Applications

Iglesias

Monells

López-Martínez

et al. 2015

IEEE Geosci. Remote Sensing Lett.

View full text Add to dashboard Cite

“…The decorrelation terms are decreased with the spatial coherence optimization, and signal-to-noise ratio is therefore increased [19]. Another spatial coherence optimization method was proposed by Colin et al [20]. This approach optimizes the coherence using the same complex unitary vector for both antennae.…”

mentioning

confidence: 99%

A New Polarimetric Persistent Scatterer Interferometry Method Using Temporal Coherence Optimization

Sadeghi

Zoej

Hooper

et al. 2018

IEEE Trans. Geosci. Remote Sensing

View full text Add to dashboard Cite

Abstract-While polarimetric persistent scatterer InSAR (PSI)is an effective technique for increasing the number and quality of selected PS pixels, existing methods are suboptimal; a polarimetric channel combination is selected for each pixel based either on amplitude, which works well only for high-amplitude scatterers such as man-made structures, or on the assumption that pixels in a surrounding window all have the same scattering mechanism. In this paper, we present a new polarimetric PSI method in which we use a phase-based criterion to select the optimal channel for each pixel, which can work well even in nonurban environments. This algorithm is based on polarimetric optimization of temporal coherence, as defined in the Stanford Method for PS (StaMPS), to identify the scatterers with stable phase characteristics. We form all possible copolar and crosspolar interferograms from the available polarimetric channels and find the optimum coefficients for each pixel using defined search spaces to optimize the temporal coherence. We apply our algorithm, PolStaMPS, to an area in the Tehran basin that is covered primarily by vegetation. Our results confirm that the algorithm substantially improves on StaMPS performance, increasing the number of PS pixels by 48%, 80%, and 82% with respect to HH+VV, VV, and HH channels, respectively, and increasing the signal-to-noise ratio of selected pixels.Index Terms-Polarimetric persistent scatterer InSAR (PSI), Stanford Method for PS (StaMPS), temporal coherence.

show abstract

Urban Applications

Colin-Koeniguer

Trouvé

Yamaguchi

et al. 2021

Polarimetric Synthetic Aperture Radar

View full text Add to dashboard Cite

The experimental result reported in this chapter review the application of (high resolution) Synthetic Aperture Radar (SAR) data to extract valuable information for monitoring urban environments in space and time. Full polarimetry is particularly useful for classification, as it allows the detection of built-up areas and to discriminate among their different types exploiting the variation of the polarimetric backscatter with the orientation, shape, and distribution of buildings and houses, and street patterns. On the other hand, polarimetric SAR data acquired in interferometric configuration can be combined for 3-D rendering through coherence optimization techniques. If multiple baselines are available, direct tomographic imaging can be employed, and polarimetry both increases separation performance and characterizes the response of each scatterer. Finally, polarimetry finds also application in differential interferometry for subsidence monitoring, for instance, by improving both the number of resolution cells in which the estimate is reliable, and the quality of these estimates.

show abstract

An interferometric coherence optimization method in radar polarimetry for high-resolution imagery

Cited by 96 publications

References 9 publications

Polarimetric Optimization of Temporal Sublook Coherence for DInSAR Applications

Polarimetric Optimization of Temporal Sublook Coherence for DInSAR Applications

A New Polarimetric Persistent Scatterer Interferometry Method Using Temporal Coherence Optimization

Urban Applications

Contact Info

Product

Resources

About