Improved SNR Optimum Method in POLDINSAR Coherence Optimization

Wu, Baolong; Tong, Ling; Chen, Yan; He, Lei

doi:10.1109/lgrs.2016.2557485

Cited by 10 publications

(3 citation statements)

References 18 publications

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“…The PSI can identify the targets, persistent scatterers (PS), with stable scattering characteristics on the ground and monitor the surface deformation based on the reliable phase and amplitude information. PSI is widely used in volcanoes, earthquakes, urban subsidence, and landslides [9][10][11][12][13][14]. Especially in urban areas, artificial buildings in urban areas can be considered as ideal persistent scatterers (PS) [15], and the PSI technology is based on the PSs to explore the impact of human or natural activities on cities [16].…”

Section: Introductionmentioning

confidence: 99%

Polarimetric Stationarity Omnibus Test (PSOT) for Selecting Persistent Scatterer Candidates with Quad-Polarimetric SAR Datasets

Luo

Wang

Shen

2020

Sensors

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In the traditional single polarimetric persistent scatterers interferometric (PSI) technology, the amplitude dispersion index (ADI) is usually used to select persistent scatterer candidates (PSC). Obviously, based on single polarimetric information, it is difficult to use the statistical characteristics for comprehensively describing the temporal stability of scatterers, which leads to a decrease in persistent scatterer (PS) density. Considering that the temporal polarimetric stationarity of PS, the paper is based on complex Wishart distribution and proposes the polarimetric stationarity omnibus test (PSOT) for identifying PSC. The nonstationary pixels can be removed by the preset significance threshold, which reduces the subsequent processing error and the calculation cost. Then, the exhaustive search polarimetric optimization (ESPO) method is selected for improving the phase quality of PSCs while suppressing the sidelobe of the strong scatterer effectively. For validating the effectiveness of the proposed method, we select a time-series quad-polarimetric ALOS PALSAR-1 images in an urban area as experimental data and mainly perform five group experiments for detailed analysis, including the PSOT+ESPO, ADI+ESPO, ADI+HH, ADI+HV, and ADI+VV. The results show that the proposed PSOT+ESPO method has a better performance on both PSC selection and interferometric phase optimization aspects than that of other methods. Specifically, compared to the last four methods, both the PSCs and PSs identified by the proposed PSOT+ESPO are more concentrated in the high-coherence region. The PSs with the standard deviation (STD) less than 5mm in the PSOT+ESPO method account for 94% of all PSs, which is greater than that of the ADI+ESPO, ADI+HH, ADI+HV, and ADI+VV methods, respectively.

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Section: Introductionmentioning

confidence: 99%

Polarimetric Stationarity Omnibus Test (PSOT) for Selecting Persistent Scatterer Candidates with Quad-Polarimetric SAR Datasets

Luo

Wang

Shen

2020

Sensors

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“…In this work, a recently published method has been applied, known as improved Signal-to-Noise ratio (SNR) optimization (IM-SNR-OPT) [12]. This method divides the 4-D optimization problem imposed by ESPO into three independent and successive optimizations in 1-D, 1-D and 2-D [12].…”

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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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“…This noise harms the observation of distributed deformation and is not able to be detected by SNR indicators. On the other hand, as more satellite sensors with polarimetric capabilities have been launched, pixel selection of PSI is improved by Polarimetric Data based Phase Optimizing Methods (PDPOM) and Polarimetric Data based Amplitude Optimizing Methods (PDAOM) [29][30][31][32][33][34][35][36][37][38][39][40]. By searching the optimal solution from multidimensional space constructed from polarization data, noise can be reduced and PS number is increased.…”

Section: Offset Tracking (Ot)mentioning

confidence: 99%

Three dimensional temporal-spatial model based SAR algorithms for monitoring large gradient deformations in mining area

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Firstly, an External Model Deformation Decomposition based Persistent Scatters Interferometry (EMDD-PSI) method has been proposed. This method first uses original interferograms to optimize the parameters of the external model. Then, the number of fringes in the original interferograms are reduced by the external model to ease the PSI processing. Finally, the ground deformation is retrieved jointly adding the external model and PSI results. The capability of the proposed method is demonstrated with 14 Radarsat-2 SAR images over the Fengfeng mining area (China). The proposed method is evaluated with the leveling data. Results have shown that after the optimization, the external model is able to mimic the real deformation. Second, to reduce the PL, a novel amplitude filter, i.e. the Pacth-Like Reduction (PLR), is developed. The proposed PLR educes the PL effects by replacing the pixels with extremely high amplitudes with zero. Three different SAR data sets and in-field Global Positioning System (GPS) measurements are used to evaluate the performance of the proposed method. The results show that PL effects can be reduced with the proposed amplitude filter. Third, a polarization data based Amplitude Contrast Enhancement Offset Tracking (ACE-OT) is proposed. The method can enhance the contrast of SAR amplitude image by searching for the optimal combination of three different scattering mechanism. The 31 quad-pol Radarsat-2 images covering Barcelona Airport and 20 dual-pol TerraSAR-X images are used to verify the proposed method. The enhancement result shows that the contrasts of the amplitude images are increased, which also improves the correlation of the image pair. Therefore, the ACE-OT can achieve better results than the OT with unenhanced amplitude images. En primer lugar, se ha propuesto un método PSI basado en la descomposición de la deformación con modelo externo (EMDD-PSI). Este método primero utiliza los interferogramas originales para optimizar los parámetros del modelo externo de deformación. Luego, el número de franjas en los interferogramas originales se reduce para facilitar el procesado PSI. Finalmente, la deformación del terreno se recupera conjuntamente agregando el modelo externo y los resultados PSI. Las capacidades del método propuesto se demuestran con 14 imágenes Radarsat-2 SAR sobre el área minera de Fengfeng (China). El método propuesto es evaluado con los datos de nivelación precisa adquiridos sobre el terreno. Los resultados han demostrado que después de la optimización, el modelo externo puede imitar la deformación real. En segundo lugar, para reducir el PL, se desarrolla un nuevo filtro de amplitud, llamado Patch Like Reduction (PLR). El PLR propuesto reduce los efectos de PL reemplazando los píxeles con amplitudes extremadamente altas con ceros. Se utilizan tres conjuntos de datos SAR diferentes y mediciones del Sistema de Posicionamiento Global (GPS) en el campo para evaluar el rendimiento del método propuesto. Los resultados muestran que los efectos de PL se pueden reducir con el filtro de amplitud propuesto. En tercer lugar, se propone una mejora del contraste de las imágenes de amplitud para la mejora del procesado OT (Amplitude contrast Enhancement, ACE-OT) basado en imágenes SAR polarimétricas. El método puede mejorar el contraste de la imagen de amplitud SAR buscando la combinación óptima de tres mecanismos de dispersión diferentes. Las 31 imágenes Radarsat-2 quad-pol que cubren el Aeropuerto de Barcelona y las 20 imágenes TerraSAR-X dual-pol se utilizan para verificar el método propuesto. El resultado de la mejora muestra que los contrastes de las imágenes de amplitud aumentan, lo que también mejora la correlación del par de imágenes. Por lo tanto, el ACE-OT puede lograr mejores resultados que el OT con imágenes de amplitud no mejorada.

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Improved SNR Optimum Method in POLDINSAR Coherence Optimization

Cited by 10 publications

References 18 publications

Polarimetric Stationarity Omnibus Test (PSOT) for Selecting Persistent Scatterer Candidates with Quad-Polarimetric SAR Datasets

Polarimetric Stationarity Omnibus Test (PSOT) for Selecting Persistent Scatterer Candidates with Quad-Polarimetric SAR Datasets

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

Three dimensional temporal-spatial model based SAR algorithms for monitoring large gradient deformations in mining area

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