Results 51 to 60 of about 15,888 (248)
Scientific Reports, 2023 AbstractShanghai is susceptible to land subsidence due to its unique geological environment and frequent human activities. Traditional leveling techniques are not sufficient for monitoring large areas of land subsidence due to the time-consuming, labor-intensive, and expensive nature of the process.
Zhihua Zhang +5 more
openaire +3 more sources
Object-based Multipass InSAR via Robust Low Rank Tensor Decomposition [PDF]
, 2018 The most unique advantage of multipass SAR interferometry (InSAR) is the retrieval of long term geophysical parameters, e.g. linear deformation rates, over large areas. Recently, an object-based multipass InSAR framework has been proposed in [1], as an alternative to the typical single-pixel methods, e.g.
arxiv +1 more source
InSAR Phase Denoising: A Review of Current Technologies and Future Directions [PDF]
, 2020 Nowadays, interferometric synthetic aperture radar (InSAR) has been a powerful tool in remote sensing by enhancing the information acquisition. During the InSAR processing, phase denoising of interferogram is a mandatory step for topography mapping and deformation monitoring. Over the last three decades, a large number of effective algorithms have been
arxiv +1 more source
Atmospheric Effects on InSAR Measurements and Their Mitigation [PDF]
Sensors, 2008 Interferometric Synthetic Aperture Radar (InSAR) is a powerful technology for observing the Earth surface, especially for mapping the Earth's topography and deformations. InSAR measurements are however often significantly affected by the atmosphere as the radar signals propagate through the atmosphere whose state varies both in space and in time. Great
Ding, XL +4 more
openaire +5 more sources
Fully Complex-valued Fully Convolutional Multi-feature Fusion Network (FC2MFN) for Building Segmentation of InSAR images [PDF]
arXiv, 2022 Building segmentation in high-resolution InSAR images is a challenging task that can be useful for large-scale surveillance. Although complex-valued deep learning networks perform better than their real-valued counterparts for complex-valued SAR data, phase information is not retained throughout the network, which causes a loss of information.
arxiv
Multipass SAR Interferometry Based on Total Variation Regularized Robust Low Rank Tensor Decomposition [PDF]
, 2020 Multipass SAR interferometry (InSAR) techniques based on meter-resolution spaceborne SAR satellites, such as TerraSAR-X or COSMO-Skymed, provide 3D reconstruction and the measurement of ground displacement over large urban areas. Conventional method such as Persistent Scatterer Interferometry (PSI) usually requires a fairly large SAR image stack ...
arxiv +1 more source
Remote Sensing, 2020 The filtering of multi-pass synthetic aperture radar interferometry (InSAR) stack data is a necessary preprocessing step utilized to improve the accuracy of the object-based three-dimensional information inversion in urban area.
Yanan You, Rui Wang, Wenli Zhou
doaj +1 more source
Ocean surface radial velocity imaging in the AT-INSAR Velocity Bunching Model. A functional approach [PDF]
, 2020 This work is concerned with the estimation of radial velocities of sea surface elevations. The data, is a noisy along-track interferometric synthetic aperture radar (AT-INSAR) image. We assume the Velocity Bunching Model. This model relates the complex AT-INSAR image at a point in the image plane, with the radial velocity of a scatterer point in the ...
arxiv +1 more source
Research on the Prediction Method of 3D Surface Deformation in Filling Mining Based on InSAR‐IPIM
Energy Science &Engineering, EarlyView.Aiming at a series of defects existing in the monitoring of mining area by InSAR technology, this paper proposes an insar‐ipim model to predict the three‐dimensional surface deformation of filling mining. The parameters of the model are inversed by using the group optimization algorithm slime bacteria algorithm proposed in 2020, and the empirical ...
Meng Wang +8 more
wiley +1 more source
GeoScience Engineering, 2021 With the growing availability of accurate and long-term measurements of displacements of technical infrastructure elements, there is a growing interest in the automated processing of acquired data.
Juraj STRUHÁR +4 more
doaj +1 more source