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Relevant bibliographies by topics / Persistent Scatterer (PS)

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Journal articles

Academic literature on the topic 'Persistent Scatterer (PS)'

Author: Grafiati

Published: 10 September 2021

Last updated: 1 February 2022

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Journal articles on the topic "Persistent Scatterer (PS)"

1

Čyžienė, Jolanta, Marek Graniczny, Zbigniew Kowalski, Andrzej Piotrowski, Jonas Satkūnas, and Janusz Wasowski. "FINDINGS OF PERSISTENT SCATTERER INTERFEROMETRY (PSI) FOR VILNIUS AREA, LITHUANIA." JOURNAL OF ENVIRONMENTAL ENGINEERING AND LANDSCAPE MANAGEMENT 18, no. 4 (2010): 259–70. http://dx.doi.org/10.3846/jeelm.2010.30.

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Ground surface deformations can be related to natural and anthropogenic activities. The availability of ground movement data from regular satellite observations, combined with the knowledge of local geology and geomorphology, can help to improve our understanding of subsidence and soil geotechnical settlement phenomena, as well as to distinguish them from structural deterioration of buildings, which in urban environments represent the most common type of radar targets (PS). In Lithuania ground surface deformations are usually related to landslides, karstic, suffusion processes and anthropogeni

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2

Luo, Xingjun, Changcheng Wang, and Peng Shen. "Polarimetric Stationarity Omnibus Test (PSOT) for Selecting Persistent Scatterer Candidates with Quad-Polarimetric SAR Datasets." Sensors 20, no. 6 (2020): 1555. http://dx.doi.org/10.3390/s20061555.

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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 omnib

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3

Zhou, Di, Anita Simic-Milas, Jie Yu, Lin Zhu, Beibei Chen, and Nijiati Muhetaer. "Integrating RELAX with PS-InSAR Technique to Improve Identification of Persistent Scatterers for Land Subsidence Monitoring." Remote Sensing 12, no. 17 (2020): 2730. http://dx.doi.org/10.3390/rs12172730.

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Identifying Persistent Scatterers (PSs) is one of the key processing steps of the Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) technique. The number, density, and reliability of identified PSs directly affect the monitoring accuracy of land subsidence, especially in higher density urban environments. As a result of the side-looking viewing geometry of SAR, the layover effect poses a major challenge to the PS identification. This research proposes joint modeling of the PS-InSAR technique and RELAX algorithm for SAR tomography (PS-InSAR+RELAX) to detect single and dou

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4

Yang, C. H., and U. Soergel. "CHANGE DETECTION BASED ON PERSISTENT SCATTERER INTERFEROMETRY – CASE STUDY OF MONITORING AN URBAN AREA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W3 (August 19, 2015): 123–30. http://dx.doi.org/10.5194/isprsarchives-xl-3-w3-123-2015.

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Persistent Scatterer Interferometry (PSI) is a technique to extract subtle surface deformation from sets of scatterers identified in time-series of SAR images which feature temporally stable and strong radar signal (i.e., Persistent Scatterers, PS). Because of the preferred rectangular and regular structure of man-made objects, PSI works particularly well for monitoring of settlements. Usually, in PSI it is assumed that except for surface motion the scene is steady. In case this is not given, corresponding PS candidates are discarded during PSI processing. On the other hand, pixel-based change

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5

Zhou, Di, Jie Yu, Lin Zhu, et al. "Land subsidence monitoring based on PS-InSAR Persistent Scatterers identification with spectral analysis method." Proceedings of the International Association of Hydrological Sciences 382 (April 22, 2020): 249–53. http://dx.doi.org/10.5194/piahs-382-249-2020.

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Abstract. Layover occurs as a consequence of the slant range scale distortion in Synthetic Aperture Radar (SAR) data and it is commonly observed in the images acquired over urban areas. There may be two or more Persistent Scatterers (PSs) in one pixel. Moreover, these PSs do not have amplitude stability and spatial coherence. The threshold method used in the Persistent Scatterer Interferometric (PSI) SAR technique cannot identify the PS with two scatterers in urban, the accuracy of urban land subsidence is reduced. To solve this problem, we used Fast Fourier Transform (FFT) convert PSs in freq

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6

Evers, M., A. Thiele, H. Hammer, E. Cadario, K. Schulz, and S. Hinz. "CONCEPT TO ANALYZE THE DISPLACEMENT TIME SERIES OF INDIVIDUAL PERSISTENT SCATTERERS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2021 (June 28, 2021): 147–54. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2021-147-2021.

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Abstract. Persistent Scatterer Interferometry (PSInSAR) exploits a time series of Synthetic Aperture Radar (SAR) images to estimate the mean velocity with which the surface of the earth is deforming. However, most PSInSAR algorithms estimate the mean velocities using a linear regression model. Since some deformation phenomena can exhibit a more complex behavior over time, using a linear regression model leads to potentially wrong estimations for the mean velocity. For example, the velocity of a landslide moving down a steep slope can change depending on the water content of the material of the

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7

Schack, L., U. Soergel, and C. Heipke. "PERSISTENT SCATTERER AIDED FACADE LATTICE EXTRACTION IN SINGLE AIRBORNE OPTICAL OBLIQUE IMAGES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W4 (March 11, 2015): 197–205. http://dx.doi.org/10.5194/isprsannals-ii-3-w4-197-2015.

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We present a new method to extract patterns of regular facade structures from single optical oblique images. To overcome the missing three-dimensional information we incorporate structural information derived from Persistent Scatter (PS) point cloud data into our method. Single oblique images and PS point clouds have never been combined before and offer promising insights into the compatibility of remotely sensed data of different kinds. Even though the appearance of facades is significantly different, many characteristics of the prominent patterns can be seen in both types of data and can be

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8

Krishnakumar, Vrinda, Zhiwei Qiu, Oriol Monserrat, et al. "Sentinel-1 A-DInSAR Approaches to Map and Monitor Ground Displacements." Remote Sensing 13, no. 6 (2021): 1120. http://dx.doi.org/10.3390/rs13061120.

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Persistent scatterer interferometry (PSI) is a group of advanced interferometric synthetic aperture radar (SAR) techniques used to measure and monitor terrain deformation. Sentinel-1 has improved the data acquisition throughout and, compared to previous sensors, increased considerably the differential interferometric SAR (DInSAR) and PSI deformation monitoring potential. The low density of persistent scatterer (PS) in non-urban areas is a critical issue in DInSAR and has inspired the development of alternative approaches and refinement of the PS chains. This paper proposes two different and co

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9

Wang, Ziyun, Timo Balz, Lu Zhang, Daniele Perissin, and Mingsheng Liao. "Using TSX/TDX Pursuit Monostatic SAR Stacks for PS-InSAR Analysis in Urban Areas." Remote Sensing 11, no. 1 (2018): 26. http://dx.doi.org/10.3390/rs11010026.

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Persistent Scatterer Interferometry (PS-InSAR) has become an indispensable tool for monitoring surface motion in urban environments. The interferometric configuration of PS-InSAR tends to mix topographic and deformation components in differential interferometric observations. When the upcoming constellation missions such as, e.g., TanDEM-L or TWIN-L provide new standard operating modes, bi-static stacks for deformation monitoring will be more commonly available in the near future. In this paper, we present an analysis of the applicability of such data sets for urban monitoring, using a stack o

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10

Yang, C. H., B. K. Kenduiywo, and U. Soergel. "CHANGE DETECTION BASED ON PERSISTENT SCATTERER INTERFEROMETRY – A NEW METHOD OF MONITORING BUILDING CHANGES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-7 (June 7, 2016): 243–50. http://dx.doi.org/10.5194/isprsannals-iii-7-243-2016.

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Persistent Scatterer Interferometry (PSI) is a technique to detect a network of extracted persistent scatterer (PS) points which feature temporal phase stability and strong radar signal throughout time-series of SAR images. The small surface deformations on such PS points are estimated. PSI particularly works well in monitoring human settlements because regular substructures of man-made objects give rise to large number of PS points. If such structures and/or substructures substantially alter or even vanish due to big change like construction, their PS points are discarded without additional e

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