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Vegetation modelling for height inversion using InSAR/Pol-InSAR data.
2007 IEEE International Geoscience and Remote Sensing Symposium, 2007The random volume over ground model has been extensively used for forest height inversion using Pol-InSAR data. Two different forest models are proposed to better represent the forest structure for height inversion using Pol-InSAR. The first one takes into account a vertically varying mean extinction coefficient and the second one considers ...
Garestier, Franck, Le Toan, Thuy
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Geosynchronous InSAR and D-InSAR
2018Geosynchronous SAR has almost the same trajectory during its orbit period which makes it suitable for interferometric SAR and differential interferometric SAR (InSAR and D-InSAR) processing. But the very large orbit height, which is about 60 times larger than that in a low Earth orbit SAR, will cause lots of special issues in the repeated-track InSAR ...
Teng Long +5 more
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Integrating PS-InSAR and SBAS-InSAR for mining surface settlement monitoring
Journal of Mines, Metals and Fuels, 2022Based on 38 Sentinel-1A images, this paper imports GCP points generated by PS-InSAR into SBAS-InSAR, instead of manually selected GCP points, extracts surface deformation in the study area, and compares and analyzes with traditional GPS monitoring data.
YANG YUAN-JI +4 more
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IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004, 2004
For interferometric SAR processing (InSAR), the quality of the interferogram is affected by many factors such as Doppler centroid difference, baseline, atmospheric effect. It can be measured by the estimation of the coherence of the data. It has been shown that the coherence image can be used to do the classification in the area such as water, soil ...
null Yanjie Zhang, V. Prinet
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For interferometric SAR processing (InSAR), the quality of the interferogram is affected by many factors such as Doppler centroid difference, baseline, atmospheric effect. It can be measured by the estimation of the coherence of the data. It has been shown that the coherence image can be used to do the classification in the area such as water, soil ...
null Yanjie Zhang, V. Prinet
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InSAR Coherence-Decomposition Analysis
IEEE Geoscience and Remote Sensing Letters, 2010The phase coherence in synthetic aperture radar interferometry is often used in classification algorithms to detect possible temporal changes of the imaged terrain. However, in mountain areas, the interferometric coherence is also sensitive to the slight variations of the acquisition geometry.
Teng Wang +2 more
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Prominent point InSAR processing
IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 2010The statistical property of prominent points in SAR interferometry is discussed after the derivation of the probability density function of Hermitian product of two correlated Rice class SAR signals. A simple processing strategy is then provided for better phase unwrapping performance based on prominent points.
HaiJun Wei +3 more
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Forest Modeling For Height Inversion Using Single-Baseline InSAR/Pol-InSAR Data
IEEE Transactions on Geoscience and Remote Sensing, 2010The Random Volume over Ground (RVoG) model has been extensively applied to polarimetric synthetic aperture radar interferometry (Pol-InSAR) data for forest height inversion. The model assumes forest as a homogeneous volume of randomly oriented particles characterized by a constant extinction but does not take into account the forest vertical ...
Garestier, Franck, Le Toan, Thuy
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Learning InSAR Deformation Representations
The detection and characterization of ground deformations play a critical role in understanding and mitigating the risks associated with natural hazards such as earthquakes, volcanic activity, and land subsidence. These deformations can have significant impacts on human life, infrastructure, and the environment, making their timely and accurate ...Maria Kaselimi, Konstantinos Makantasis
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