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Iceland Kinematics from InSAR

Journal of Geophysical Research: Solid Earth, 2022
AbstractLarge‐scale ground deformation in Iceland is dominated by extensional plate‐boundary deformation, where the Mid‐Atlantic Ridge crosses the island, and by uplift due to glacial isostatic adjustment (GIA) from thinning and retreat of glaciers. While this deformation is mostly steady over multiple years, it is modulated by smaller‐scale transient ...
Yunmeng Cao   +2 more
openaire   +2 more sources

PDNet: A Lightweight Deep Convolutional Neural Network for InSAR Phase Denoising

IEEE Transactions on Geoscience and Remote Sensing, 2022
Interferometric phase denoising is a vital procedure for interferometric synthetic aperture radar (InSAR)-based remote sensing techniques because it can improve the accuracy of the final InSAR product. Here, we propose a deep convolutional neural network
Hanwen Yu   +3 more
semanticscholar   +1 more source

Vegetation modelling for height inversion using InSAR/Pol-InSAR data.

2007 IEEE International Geoscience and Remote Sensing Symposium, 2007
The 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
openaire   +3 more sources

Deep Learning-Based Coseismic Deformation Estimation From InSAR Interferograms

IEEE Transactions on Geoscience and Remote Sensing
Accurate automated extraction of coseismic deformation from synthetic aperture radar (SAR) data can be challenging owing to interference from inherent atmospheric noise.
Chuanhua Zhu   +4 more
semanticscholar   +1 more source

Geosynchronous InSAR and D-InSAR

2018
Geosynchronous 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 ...
Cheng Hu   +5 more
openaire   +2 more sources

Time-Series Analysis and Prediction of Surface Deformation in the Jinchuan Mining Area, Gansu Province, by Using InSAR and CNN–PhLSTM Network

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Surface deformation poses a great threat to the safety of Jinchuan mining area production activities. At present, the spatio-temporal evolution law and mechanism of surface deformation in the Jinchuan mining area are unclear, and it is difficult to ...
Yi He   +6 more
semanticscholar   +1 more source

Multichromatic Analysis of InSAR Data

IEEE Transactions on Geoscience and Remote Sensing, 2013
The multichromatic analysis (MCA) uses interferometric pairs of SAR images processed at range subbands and explores the phase trend of each pixel as a function of the dif- ferent central carrier frequencies to infer absolute optical path difference. This approach allows retrieving unambiguous height information on selected pixels, potentially solving ...
Fabio Bovenga   +3 more
openaire   +3 more sources

CVCMFF Net: Complex-Valued Convolutional and Multifeature Fusion Network for Building Semantic Segmentation of InSAR Images

IEEE Transactions on Geoscience and Remote Sensing, 2022
Building segmentation of synthetic aperture radar (SAR) images is a challenging task that has not been solved well. High-resolution interferometric SAR (InSAR) images can provide delicate textures and interferometric phase images useful for building ...
Jiankun Chen   +3 more
semanticscholar   +1 more source

InSAR coherence estimation

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 ...
Zhang Yanjie, Veronique Prinet
openaire   +2 more sources

InSAR time-series deformation forecasting surrounding Salt Lake using deep transformer models.

Science of the Total Environment, 2022
The free and open data policy of Sentinel-1 SAR images enables Radar interferometry (InSAR) to perform time series surface deformation monitoring over large areas.
Jing Wang   +6 more
semanticscholar   +1 more source

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