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An On-Site InSAR Terrain Imaging Method with Unmanned Aerial Vehicles. [PDF]
Sensors (Basel)Chuang HY, Kiang JF.
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Evaluation of InSAR and TomoSAR for Monitoring Deformations Caused by Mining in a Mountainous Area with High Resolution Satellite-Based SAR [PDF]
, 2014 Donglie Liu +6 more
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UAVSAR TomoSAR and PolInSAR over Forest Biomes: Current Status and Developments
Richard Chen
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Method of Monitoring Urban Area Deformation Based on Differential TomoSAR
, 2016 Aichun Wang +2 more
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Geometry-driven extraction of forest vertical layers from single-polarized TomoSAR data
Karima Hadj-Rabah +3 more
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Harnessing Deep Learning for TomoSAR stack enhancement
Serafin Garcia, Sergio Alejandro +4 more
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Equivariance-Embedded TomoSAR Robust Imaging
IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing SymposiumTomographic synthetic aperture radar enables effective 3D mapping of urban buildings. While deep learning methods have improved upon traditional iterative optimization approaches, they struggle with robustness when processing real-world data that differs
Jinyu Qiu +6 more
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TomoSAR NA-ALISTA: Efficient TomoSAR Imaging via Deep Unfolded Network
2024 5th International Conference on Geology, Mapping and Remote Sensing (ICGMRS)Synthetic Aperture Radar (SAR) tomography (TomoSAR) technology has gained attention for its ability to reconstruct three-dimensional (3D) features of observed targets by collecting data from diverse spatial locations and performing linear spectrum ...
Chuxin Wang +5 more
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