Sparse synthetic aperture radar imaging from compressed sensing and machine learning: Theories, applications, and trends
Synthetic aperture radar (SAR) image formation can be treated as a class of ill-posed linear
inverse problems, and the resolution is limited by the data bandwidth for traditional imaging …
inverse problems, and the resolution is limited by the data bandwidth for traditional imaging …
Landslide4sense: Reference benchmark data and deep learning models for landslide detection
This study introduces\textit {Landslide4Sense}, a reference benchmark for landslide
detection from remote sensing. The repository features 3,799 image patches fusing optical …
detection from remote sensing. The repository features 3,799 image patches fusing optical …
Toward Fine Surveillance: A review of multitemporal interferometric synthetic aperture radar for infrastructure health monitoring
With improvements in synthetic aperture radar (SAR) image resolutions and multitemporal
SAR interferometry (MTInSAR) algorithms, it becomes feasible to generate 3D point clouds …
SAR interferometry (MTInSAR) algorithms, it becomes feasible to generate 3D point clouds …
[HTML][HTML] Refined and dynamic susceptibility assessment of landslides using InSAR and machine learning models
Y Wei, H Qiu, Z Liu, W Huangfu, Y Zhu, Y Liu… - Geoscience …, 2024 - Elsevier
Landslide susceptibility assessment is crucial in predicting landslide occurrence and
potential risks. However, traditional methods usually emphasize on larger regions of …
potential risks. However, traditional methods usually emphasize on larger regions of …
Quantitative risk assessment of the Shilongmen reservoir landslide in the Three Gorges area of China
Many landslides have been triggered by the fluctuation of reservoir water level in the Three
Gorges Reservoir area (TGRA) of China. The current research lacks the quantitative risk …
Gorges Reservoir area (TGRA) of China. The current research lacks the quantitative risk …
State of activity classification of deep-seated gravitational slope deformation at regional scale based on Sentinel-1 data
Deep-seated gravitational slope deformations (DsGSDs) are very slow slope instabilities
that can have a long-term impact on anthropic structures and infrastructures. The …
that can have a long-term impact on anthropic structures and infrastructures. The …
Indicator-based approach for the assessment of intrinsic physical vulnerability of the built environment to hydro-meteorological hazards: review of indicators and …
Buildings located in mountainous areas are prone to be damaged by hydro-meteorological
events, such as landslides and floods. The assessment of the physical vulnerability (PV) of …
events, such as landslides and floods. The assessment of the physical vulnerability (PV) of …
SAR-TSCC: A novel approach for long time series SAR image change detection and pattern analysis
Change detection has played an increasingly important role in multitemporal remote
sensing applications recently. Long time series analysis is providing new information of land …
sensing applications recently. Long time series analysis is providing new information of land …
Two-dimensional deformation monitoring of karst landslides in Zongling, China, with multi-platform distributed scatterer InSAR technique
Zongling landslides are the typical karst landslides located in the southwest of China, which
have severely threatened the lives of local people. It is of great significance to monitor the …
have severely threatened the lives of local people. It is of great significance to monitor the …
Two-dimensional phase unwrapping method using a refined D-LinkNet-based unscented Kalman filter
Y Gao, G Wang, G Wang, T Li, S Zhang, S Li… - Optics and Lasers in …, 2022 - Elsevier
Abstract Two-dimensional phase unwrapping (2-D PU) has a strong influence on the
accuracy of interferometric synthetic aperture radar (InSAR) data processing results. Phase …
accuracy of interferometric synthetic aperture radar (InSAR) data processing results. Phase …