Search Results - "Ansari, Homa"

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  1. 1

    Study of Systematic Bias in Measuring Surface Deformation With SAR Interferometry by Ansari, Homa, De Zan, Francesco, Parizzi, Alessandro

    “…This article investigates the presence of a new interferometric signal in multilooked synthetic aperture radar (SAR) interferograms that cannot be attributed…”
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    Journal Article
  2. 2

    Efficient Phase Estimation for Interferogram Stacks by Ansari, Homa, De Zan, Francesco, Bamler, Richard

    “…Signal decorrelation poses a limitation to multipass SAR interferometry. In pursuit of overcoming this limitation to achieve high-precision deformation…”
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    Journal Article
  3. 3

    Sequential Estimator: Toward Efficient InSAR Time Series Analysis by Ansari, Homa, De Zan, Francesco, Bamler, Richard

    “…Wide-swath synthetic aperture radar (SAR) missions with short revisit times, such as Sentinel-1 and the planned NISAR and Tandem-L, provide an unprecedented…”
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    Journal Article
  4. 4

    Characterizing and correcting phase biases in short-term, multilooked interferograms by Maghsoudi, Yasser, Hooper, Andrew J., Wright, Tim J., Lazecky, Milan, Ansari, Homa

    Published in Remote sensing of environment (15-06-2022)
    “…Interferometric Synthetic Aperture Radar (InSAR) is widely used to measure deformation of the Earth's surface over large areas and long time periods. A common…”
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    Journal Article
  5. 5

    Deep Learning for Subtle Volcanic Deformation Detection With InSAR Data in Central Volcanic Zone by Beker, Teo, Ansari, Homa, Montazeri, Sina, Song, Qian, Zhu, Xiao Xiang

    “…Subtle volcanic deformations point to volcanic activities, and monitoring them helps predict eruptions. Today, it is possible to remotely detect volcanic…”
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    Journal Article
  6. 6

    Measuring 3-D Surface Motion With Future SAR Systems Based on Reflector Antennae by Ansari, Homa, De Zan, Francesco, Parizzi, Alessandro, Eineder, Michael, Goel, Kanika, Adam, Nico

    Published in IEEE geoscience and remote sensing letters (01-02-2016)
    “…A conventional interferometric synthetic aperture radar (SAR) system provides 1-D line-of-sight motion measurements from repeat-pass observations…”
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    Journal Article
  7. 7

    FINE-TUNING CNNS FOR DECREASED SENSITIVITY TO NON-VOLCANIC DEFORMATION VELOCITY SIGNALS by Beker, T., Ansari, H., Montazeri, S., Song, Q., Zhu, X. X.

    “…Monitoring volcanic deformations allows us to track dynamic states of a volcano and to know where an eruptions could happen. Spaceborne Synthetic Aperture…”
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    Journal Article
  8. 8

    Fading Signal: An Overlooked Error Source for Distributed Scatterer Interferometry by Ansari, Homa, De Zan, Francesco, Parizzi, Alessandro

    “…We reveal the presence of a peculiar physical signal which compromises the accuracy of Earth surface deformation estimates for distributed scatterers [1]. The…”
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    Conference Proceeding
  9. 9

    InSAR Displacement Time Series Mining: A Machine Learning Approach by Ansari, Homa, Rubwurm, Marc, Ali, Mohsin, Montazeri, Sina, Parizzi, Alessandro, Zhu, Xiao Xiang

    “…Interferometric Synthetic Aperture Radar (InSAR)-derived surface displacement time series enable a wide range of applications from urban structural monitoring…”
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    Conference Proceeding
  10. 10

    Explainability Analysis of CNN in Detection of Volcanic Deformation Signal by Beker, Teo, Ansari, Homa, Montazeri, Sina, Song, Qian, Zhu, Xiao Xiang

    “…With improvement in the processing of synthetic aperture radar interferometry (InSAR) data, the detection of long-term volcanic de-formations becomes possible…”
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    Conference Proceeding
  11. 11

    EMI: Efficient Temporal Phase Estimation and its Impact on High-Precision InSAR Time Series Analysis by Ansari, Homa, De Zan, Francesco, Gomba, Giorgio, Bamler, Richard

    “…Multitemporal phase estimation aims at the exploitation temporal data redundancy within the SAR time-series to reduce the impact of inherent stochastic and…”
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    Conference Proceeding
  12. 12

    Evaluation of Ensemble Coherence as a Measure for Stochastic and Systematic Phase Inconsistencies by Ansari, Homa, Gonzalez, Fernando Rodriguez, Brcic, Ramon, De Zan, Francesco

    “…The presence of stochastic and systematic inconsistencies is a concern for the precision and interpretability of Interferometric Synthetic Aperture Radar…”
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    Conference Proceeding
  13. 13

    Sequential estimator: A novel approach for efficient high-precision analysis of interferometric time series by Ansari, Homa, De Zan, Francesco, Bamler, Richard

    “…Wide-swath satellite missions with short revisit times, such as Sentinel-1 and the planned NISAR and Tandem-L, provide an unprecedented wealth of…”
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    Conference Proceeding
  14. 14

    Investigation of the Phase Bias in the Short Term Interferograms by Maghsoudi, Yasser, Lazecky, Milan, Ansari, Homa, Hooper, Andrew J., Wright, Tim J.

    “…Interferometric Synthetic Aperture Radar (InSAR) is a powerful tool for monitoring ground deformation associated with earthquakes, volcanoes, landslides, and…”
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    Conference Proceeding
  15. 15

    Amplitude time series analysis in detection of persistent and temporal coherent scatterers by Ansari, Homa, Adam, Nico, Brcic, Ramon

    “…Constraining the deformation analysis to scatterers with high phase coherence, known as persistent scatterers (PS), in the InSAR time series plays a major role…”
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    Conference Proceeding
  16. 16

    Sequential estimator for distributed scatterer interferometry by Ansari, Homa, De Zan, Francesco, Adam, Nico, Goel, Kanika, Bamler, Richard

    “…The launch of the wide-swath SAR missions with short repeat-pass cycles, such as Sentinel-1, will soon provide an unprecedented large InSAR data archive…”
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    Conference Proceeding
  17. 17

    Tandem-L performance analysis for three dimensional earth deformation monitoring by Ansari, Homa, Goel, Kanika, Parizzi, Alessandro, De Zan, Francesco, Adam, Nico, Eineder, Michael

    “…Interferometric synthetic aperture radar (InSAR) measurements are merely sensitive to the deformation along the Line of Sight (LOS) direction of the sensor. To…”
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    Conference Proceeding